( T O N Y ) J I A N G U O S U Nfaculty.missouri.edu/sunj/Sun-CV-2019.pdfNational Institutes of...

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( T O N Y ) J I A N G U O S U N

Department of StatisticsUniversity of Missouri

146 Middlebush Hall, Columbia, MO 65211(573) 882-6667 (Office), (573) 445-9725 (Home)

e-mail : [email protected]

RESEARCH INTEREST :

- AIDS and cancer research, biostatistics, chemometrics, longitudinal data analysis, survival analysis- Clinical trials, statistical analysis of interval-censored data, doubly censored data, panel count data- Bioinformatics, microarray data analysis, variable selection- Nonparametric and semiparametric statistics

EDUCATION :

• Ph.D. (Statistics), University of Waterloo, Canada, 1992

- Thesis : “The Analysis of Incomplete Data”

• MASc (Probability and Statistics), Jilin University, China, 1986

- Thesis : “Admissibility and Estimation for Ellipsoidal Distribution Functions”

• BASc (Mathematics), Jilin University, China, 1983

PROFESSIONAL EXPERIENCE :

• Professor, Department of Statistics, University of Missouri (September 2005 toPresent)

• Associate Professor, Department of Statistics, University of Missouri (September2001 to August 2005)

• Assistant Professor, Department of Statistics, University of Missouri (September1997 to August 2001)

• Visiting Associate Professor, Department of Biostatistics, Harvard School of Pub-lic Health (2004)

• Research Fellow, Department of Biostatistics and Center for Biostatistics in AIDSResearch, Harvard School of Public Health (1995 - 1997)

• Research Scientist, CME Telemetrix, Waterloo, Canada (1992 - 1995)

• Visiting Scholar, Department of Statistics and Actuarial Science, University ofWaterloo, Canada (1992 - 1995)

• Assistant Professor, Department of Management Sciences, Jilin University, China(1986 - 1987)

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AWARDS AND HONORS :

• Fellow of the American Statistical Association.

• Fellow of the Institute of Mathematical Statistics.

• Elected Member of the International Statistical Institute.

• MU Graduate Faculty Mentor Award, Office of Graduate Studies, University of Missouri,2018.

• Faculty Research Leave Award, Research Council, University of Missouri, 2016-2017.


• Chancellor’s Award for Outstanding Research and Creative Activity in the Phys-ical & Mathemetical Sciences, University of Missouri, 2008.

• Chapter Service Recognition Award of the American Statistical Association, 2008.

• Winemiller Award for Collaboration in Statistics and Psychology, Department ofStatistics, University of Missouri, 2006.


• The Albert Winemiller Prize for Outstanding Developments of New StatisticalMethodology for an Applied Setting, Applied Statistics Symposium, University of Mis-souri, 2000-2001

• NIH FIRST AWARD research grant (1998-2003)

• National Science and Engineering Council Industrial Postdoctoral Fellowship (Canada)(April 1993 to March 1995)

• University of Waterloo Graduate Scholarships (1990, 1991)

• Distinguished Students of Jilin University (1981, 1982, 1983)

RESEARCH GRANTS AT THE UNIVERSITY OF MISSOURI :

• University of Missouri Research Board, Statistical Analysis of AIDS Incubation Time,$11,664, 02/16/98 - 02/15/99 (Principal Investigator).

• National Institutes of Health, Statistical Methods for Interval-Censored AIDS Data,$474,500, 08/01/1998-03/31/2004 (R01 grant, Principal Investigator).

• University of Missouri, MU Big 12 Faculty Fellowship, $2,500, 03/1/98 - 12/31/98 (Prin-cipal Investigator).

• Defense Threat Reduction Agency, Geographical Epidemiology Modeling, 05/01/02 -12/31/03 (consultant).

• National Institutes of Health, Epigenomic Signature of Non-Hodgkin’s Lymphoma, 05/10/03- 04/30/04 (R01 grant, Co-Investigator).

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• Missouri Department of Conservation, Validation of Missouri Landtype Associations,09/01/2001-08/31/2004 (Co-Investigator).

• University of Missouri, MU Life Sciences Fellowship, $52,000, 09/15/02 - 09/14/04 (Prin-cipal Investigator).

• University of Missouri, Faculty International Travel Fund, $1,500, 02/18/04 - 06/25/04(Principal Investigator).

• National Institutes of Health, Epigenomic Signature of Non-Hodgkin’s Lymphoma, 05/01/04- 04/30/08 (R01 grant, Co-Investigator).

• University of Missouri Research Board, Statistical Methods for Informatively CensoredData, $15,000, 09/01/04 - 08/31/05 (Principal Investigator).

• University of Missouri, MU Research Council, $3,400, 08/01/04 - 7/31/05 (Principal In-vestigator).

• National Institutes of Health, Statistical Methods for Interval-Censored AIDS Data,$580,000, 04/01/2004 - 03/31/2009 (R01 grant, Principal Investigator).

• National Institutes of Health, Predoctoral Research Training in Biostatistics at the Uni-versity of Missouri, $743,338, 07/01/2007 - 08/31/2013 (T32 grant, Principal Investigator).

• National Institutes of Health, Predoctoral Research Training in Biostatistics at the Uni-versity of Missouri, $83,034, 09/01/2009 - 08/31/2011 (T32 grant, Principal Investigator).

• University of Missouri Research Board, Statistical Methods for Multivariate Interval-censored Failure Time Data, $5,000, 09/01/09 - 08/31/10 (Principal Investigator).

• University of Missouri, MU Research Council, $5,591, 03/01/09 - 08/31/10 (PrincipalInvestigator).

• University of Missouri, Faculty International Travel Fund, $1,500, 07/1/10 - 07/31/10(Principal Investigator).

• National Institutes of Health, Treatment Comparison and Estimation of Relative Riskswith Failure Time Data, $912,255, 07/01/2010 - 05/31/2016 (R01 grant, Principal Investiga-tor).

• National Science Foundation, Statistical Techniques for Regression Analysis of CensoredData, $160,000, 09/01/2011 - 08/31/2015 (Principal Investigator).

• National Institutes of Health, Statistical Analysis for Mixed Recurrent-Event and Panel-Count Data, 07/01/2013 - 06/30/2015 (R03 grant, Co-Investigator).

• University of Missouri, MU Research Council, $8,600, 09/01/2016 - 08/31/2017 (PrincipalInvestigator).

• National Institutes of Health, New Methods to Address Dilemmas in Mixed Recurrent-event and Panel-count Data, 09/01/2016 - 08/31/2019 (R21 grant, PI for subcontract fromUniversity of Texas Health Science Center at Houston).

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• National Institutes of Health, Statistical Analysis for Mixed Outcome Measures in Recur-rent Event Studies, 08/01/2017 - 07/31/2019 (R03 grant, PI for subcontract from Universityof Texas Health Science Center at Houston).

• National Institutes of Health, Methods for Complex Longitudinal Data in HIV/AIDSPrevention Research, 07/01/2018 - 06/30/2020 (R56 grant, PI for subcontract from FredHutchinson Cancer Research Ctr).

PUBLICATIONS :Books and Edited Volumes

• Sun, J. (2006). The Statistical Analysis of Interval-censored Failure Time Data. SpringerScience+Business Inc.

• Kalbfleisch, J. D. and Sun, J. (2010). Missouri Workshop on Methods for Life HistoryData Analysis. Lifetime Data Analysis, Volume 16, Number 2.

• Chen, D., Sun, J. and Peace, K. (2012). Interval-censored Time-to-Event Data: Methodsand Applications. Chapman & Hall/CRC.

• Sun, J. and Zhao, X. (2013). The Statistical Analysis of Panel Count Data. SpringerScience+Business Inc.

Refereed Journals

1. Li, S., Hu, T. and Sun, J. (2019). Regression Analysis of Misclassified Current StatusData. Journal of Nonparametric Statistics, in press.

2. Li, S., Wu. Q. and Sun, J. (2019). Penalized Estimation of Semiparametric Transforma-tion Models with Interval-censored Data and Application to Alzheimers Disease. StatisticalMethods in Medical Research, in press.

3. Yi, F., Tang, N. and Sun, J. (2019). Regression Analysis of Interval-censored FailureTime Data with Time-dependent Covariates. Computational Statistics and Data Analysis, inpress.

4. Du, M., Li, H. and Sun, J. (2019). Additive Hazards Regression for Case-Cohort Studieswith Interval-censored Data. Statistics and Its Interface, in press.

5. Li, C., Wang, D. and Sun, J. (2019). Control Charts Based on Dependent Count Datawith Deflation or Inflation of Zeros. Journal of Statistical Computation and Simulation, 89,3273-3289.

6. Xu, D., Zhao, S., Hu, T. and Sun, J. (2019). Regression Analysis of InformativelyInterval-censored Failure Time Data with Semiparametric Linear Transformation Model. Jour-nal of Nonparametric Statistics, 31, 663-679.

7. Li, S., Hu, T., Tong, T. and Sun, J. (2019). Semiparametric Regression Analysis ofMultivariate Doubly-Censored Data. Statistical Modelling, in press.

8. Li, S., Cui, X., Tian, T. and Sun, J. (2019). Semiparametric Regression Analysis ofDoubly Censored Failure Time Data from Cohort Studies. Lifetime Data Analysis, in press.

9. Zhao, H., Sun, D., Li, G. and Sun, J. (2019). Simultaneous Estimation and VariableSelection for Incomplete Event History Studies. Journal of Multivariate Analysis, in press.

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10. Chen, L., Feng, Y. and Sun, J. (2019). A Class of Additive Transformation Models forRecurrent Gap Times. Communications in Statistics Theory and Methods, in press.

11. Zhao, H., Cui, Q. and Sun, J. (2019). A Copula Model Approach for the AdditiveHazards Model with Dependent Current Status Data. SCIENCE CHINA Mathematics, 49,1261-1272.

12. Du, M., Hu, T. and Sun, J. (2019). Semiparametric Probit Model for InformativeCurrent Status Data. Statistics in Medicine, in press.

13. Zhao, H., Wu, Q., Li, G. and Sun, J. (2019). Simultaneous Estimation and VariableSelection for Interval-Censored Data with Broken Adaptive Ridge Regression. Journal of theAmerican Statistical Association, in press.

14. Li, H., Zhang, H. and Sun, J. (2019). Estimation of the Additive Hazards Model withCurrent Status Data in the Presence of Informative Censoring. Statistics and Its Interface,12, 321-330.

15. Li, S., Hu, T., Zhao, X. and Sun, J. (2019). A Class of Semiparametric TransformationCure Models for Interval-Censored Failure Time Data. Computational Statistics and DataAnalysis, in press.

16. Liu, Y., Hu. T. and Sun, J. (2019). Regression Analysis of Interval-Censored FailureTime Data with Cured Subgroup and Mismeasured Covariates. Communications in StatisticsTheory and Methods, in press.

17. Yu, G., Li, Y., Zhu, L., Zhao, H., Sun, J. and Robison, L. L. (2019). An Additive-Multiplicative Mean Model for Panel Count Data with Dependent Observation and Drop-outProcesses. Scandinavian Journal of Statistics, 46, 414-431.

18. Li, S., Hu., T., Zhao, S. and Sun, J. (2019). Regression Analysis of Multivariate CurrentStatus Data with Semiparametric Transformation Frailty Models. Statistica Sinica, in press.

19. Tong, X., Gao, F., Chen, K., Cai, D. and Sun, J. (2019). Maximum LikelihoodEstimation in Transformed Linear Regression with Non-normal Errors. Annals of Statistics,47, 1864-1892.

20. Hu, N., Chen, X. and Sun, J. (2019). Semiparametric Analysis of Short-Term and Long-Term Hazard Ratio Model with Length-Biased and Right-Censored Data. Statistica Sinica,in press.

21. Li, B., Liang, B., Tong, X. and Sun, J. (2019). On Estimation of Partially LinearVarying-Coefficient Transformation Models with Censored Data. Statistica Sinica, 29, 1963-1975.

22. Fan, X., Zhao, S. and Sun, J. (2019). Nonparametric Test for Stratum Effects in theCox Model with Interval-censored Data. Communications in Statistics Theory and Methods,48, 300-310.

23. Tian, S., Wang, C., Chang, H. and Sun, J. (2019). Identification of Prognostic Genesand Gene Sets for Early-stage Non-small Cell Lung Cancer Using Bi-level Selection Methods.Scientific Reports, in press.

24. Xu, D, Zhao, S., Hu, T., Yu, M. and Sun, J. (2019). Regression Analysis of InformativeCurrent Status Data with the Semiparametric Linear Transformation Model. Journal ofApplied Statistics, Vol. 46, No. 2, 187-202.

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25. Zhao, H., Sun, D., Li, G. and Sun, J. (2018). Variable Selection for the Recurrent EventData with Broken Adaptive Ridge Regression. The Canadian Journal of Statistics, Vol. 46,No. 3, 416-428.

26. Zhao, H., Ma, C., Li, J. and Sun, J. (2018). Regression Analysis of Clustered Interval-Censored Failure Time Data with Linear Transformation Models in the Presence of Informa-tive Cluster Size. Journal of Nonparametric Statistics, Vol. 30, No. 3, 703-715.

27. Wang, P., Zhao, H., Du, M. and Sun, J. (2018). Inference on Semiparametric Transfor-mation Model with General Interval-censored Failure Time Data. Journal of NonparametricStatistics, Vol. 30, No. 3, 758-773.

28. Wang, S., Wang, C., Wang, P. and Sun, J. (2018). Semiparametric Analysis of the Ad-ditive Hazards Model with Informatively Interval-censored Failure Time Data. ComputationalStatistics and Data Analysis, 125, 1-9.

29. Li, S., Hu, T., Wang, P. and Sun, J. (2018). A Class of Semiparametric TransformationModels for Doubly Censored Failure Time Data. Scandinavian Journal of Statistics, Vol. 45,682-698.

30. Cui, Q., Zhao, H. and Sun, J. (2018). A New Copula Model-based Method for RegressionAnalysis of Dependent Current Status Data. Statistics and Its Interface, Vol. 11, 463 - 471.

31. Zhang, H., Wang, P. and Sun, J. (2018). Regression Analysis of Interval-CensoredFailure Time Data with Possibly Crossing Hazards. Statistics in Medicine, 37, No. 5, 768-775.

32. Wang, P., Tong, X. and Sun, J. (2018). A Semiparametric Regression Cure Model forDoubly Censored Data. Lifetime Data Analysis, 24, 492-508.

33. Zhu, L., Zhang, Y., Li, Y., Sun, J. and Robison, L. L. (2018). A SemiparametricLikelihood-based Method for Regression Analysis of Mixed Panel-count Data. Biometrics,488-497.

34. Xu, D., Zhao, H. and Sun, J. (2018). Joint Analysis of Interval-censored failure TimeData and Panel Count Data. Lifetime Data Analysis, 24, 94-109.

35. Yu, G., Zhu, L., Sun, J, and Robison, L. L. (2018). Regression Analysis of IncompleteData from Event History Studies with the Proportional Rates Model. Statistics and ItsInterface, 11, 91 - 97.

36. Chen, X., Hu, T. and Sun, J. (2017). Sieve Maximum Likelihood Estimation for theProportional Hazards Model under Informative Censoring. Computational Statistics and DataAnalysis, 112, 224-234.

37. Lee, K. H., Chakraborty, S. and Sun, J. (2017). Variable Selection for High-DimensionalGenomic Data with Censored Outcomes Using Group Lasso Prior. Computational Statisticsand Data Analysis, 112, 1-13.

38. Li, S., Hu, T., Wang, P. and Sun, J. (2017). Regression Analysis of Current Status DataIn the Presence of Dependent Censoring with Applications to Tumorigenicity Experiments.Computational Statistics and Data Analysis, 110, 75-86.

39. Jiang, D. and Sun, J. (2017). Group Tests for High-dimensional Failure Time Data withthe Additive Hazards Models. International Journal of Biostatistics, V 13, Issue 1, Articlenumber 20160085.

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40. Hu, T., Zhou, Q. and Sun, J. (2017). Regression Analysis of Bivariate Current StatusData under the Proportional Hazards Model. The Canadian Journal of Statistics, 45, 410-424.

41. Duan, R., Feng, Y. and Sun, J. (2017). Nonparametric Comparison of Survival FunctionsBased on Interval-censored Data with Unequal Censoring. Statistics in Medicine, 36, 1895-1906.

42. Yu, G., Zhu, L., Li, Y., Sun, J, and Robison, L. L. (2017). Regression Analysisof Mixed Panel Count Data with Dependent Terminal Events. Statistics in Medicine, 36,1669-1680.

43. Zhou, Q., Hu, T. and Sun, J. (2017). A Sieve Semiparametric Maximum LikelihoodApproach for Regression Analysis of Bivariate Interval-Censored Failure Time Data. Journalof the American Statistical Association, 112, 664-672.

44. Chen, L., Feng, Y. and Sun, J. (2017). Regression Analysis of Clustered Failure TimeData with Informative Cluster Size under the Additive Transformation Models. Lifetime DataAnalysis, 23, 651-670.

45. Geary, D., Nicholas, A., Li, Y. and Sun, J. (2017). Developmental Change in the Influ-ence of Domain-General Abilities and Domain-Specific Knowledge on Mathematics Achieve-ment: An Eight-Year Longitudinal Study. Journal of Educational Psychology, 109, 680-693.

46. Zhou, J., Zhang, H, Sun, L. and Sun, J. (2017). Joint Analysis of Panel CountData with Informative Observation Process and a Dependent Terminal Event. Lifetime DataAnalysis, 23, 560-584.

47. Liu, Y., Hu, T. and Sun, J. (2017). Regression Analysis of Current Status Data in thePresence of Cured Subgroup and Dependent Censoring. Lifetime Data Analysis, 23, 626-650.

48. Chen, X., Hu, N. and Sun, J. (2017). Smooth Composite Likelihood Analysis of Length-Biased and Right-Censored Data with the AFT Model. Statistica Sinica, 27, 229 - 242.

49. Wang, C., Sun, J., Wang, D. and Shi, N. (2017). Nonparametric Estimation of Interval-censored Failure Time Data in the Presence of Informative Censoring. Acta MathematicaeApplicatae Sinica (English Series), 33, 107-114.

50. Chen, L, Sun, J. and Xiong, C. (2016). A Multiple Imputation Approach to the Analysisof Clustered Interval-censored Failure Time Data with the Additive Hazards Model. Compu-tational Statistics and Data Analysis, 103, 242-249.

51. Ma, L., Hu, T. and Sun, J. (2016). Cox Regression Analysis of Dependent Interval-Censored Failure Time Data. Computational Statistics and Data Analysis, 103, 79-90.

52. Wang, P., Zhao, H. and Sun, J. (2016). Regression Analysis of Case K Interval-censoredFailure Time Data in the Presence of Informative Censoring. Biometrics, 72, 1103-1112.

53. Chen, X., Liu, Y., Sun, J. and Zhou, Y. (2016). Semiparametric Quantile RegressionAnalysis of Right-censored and Length-biased Failure Time Data with Partially Linear VaryingEffects. Scandinavian Journal of Statistics, 43, 921-938.

54. Li, Y., He, X., Wang, H. and Sun, J. (2016). Regression Analysis of Longitudinal Datawith Correlated Censoring and Observation Times. Lifetime Data Analysis, 343-362.

55. Xu, D., Sun, J. and Wang, D. (2016). Nonparametric Comparison of Recurrent EventProcesses Based on Panel Count Data. Journal of the Korean Statistical Society, 45, 250-259.

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56. Ma, L., Hu, T. and Sun, J. (2015). Sieve Maximum Likelihood Regression Analysis ofDependent Current Status Data. Biometrika, 102, 731-738.

57. Daluwatte, C., Miles, J. H., Sun, J. and Yao, G. (2015). Association Between Pupil-lary Light Reflex and Sensory Behaviors in Children with Autism Spectrum Disorders. Re-search in Developmental Disabilities, 37, 209-215.

58. Zhu, L., Zhao, H., Sun, J., Leisenring, W. and Robison, L. L. (2015). Regres-sion Analysis of Mixed Recurrent-Event and Panel-Count Data with Additive Rate Models.Biometrics, 71-79.

59. Li, Y., He, X., Wang, H., Zhang, B. and Sun, J. (2015). Semiparametric Regression ofMultivariate Panel Count Data with Informative Observation Times. Journal of MultivariateAnalysis, 140, 209-219.

60. Lee, K. H., Chakraborty, S. and Sun, J. (2015). Survival Prediction and VariableSelection with Simultaneous Shrinkage and Grouping Priors. Statistical Analysis and DataMining, 8, 114-127.

61. Chen, Y., Feng, Y. and Sun, J. (2015). Regression Analysis of Multivariate CurrentStatus Data with Auxiliary Covariates under the Additive Hazards Model. ComputationalStatistics and Data Analysis, 87, 34-45.

62. Wang, P., Tong, X., Zhao, S. and Sun, J. (2015). Efficient Estimation for the AdditiveHazards Model in the Presence of Left-truncation and Interval Censoring. Statistics and ItsInterface, 391-402.

63. Wang, H. Y., Li, Y. and Sun, J. (2015). Focused and Model Average Estimation forRegression Analysis of Panel Count Data. Scandinavian Journal of Statistics, 42, 732-745.

64. Chen, X., Sun, J. and Liu, L. (2015). Semiparametric Partial Linear Quantile Regressionof Longitudinal Data with Time-Varying Coefficients and Informative Observation Times.Statistica Sinica, 25, 1437-1458.

65. Zhao, S., Hu, T., Ma, L., Wang, P and Sun, J. (2015). Regression Analysis of Interval-Censored Failure Time Data with the Additive Hazards Model in the Presence of InformativeCensoring. Statistics and Its Interface, 367-377.

66. Zhao, S., Hu, T., Ma, L., Wang, P and Sun, J. (2015). Regression Analysis ofInformative Current Status Data with the Additive Hazards Model. Lifetime Data Analysis,21, 241-258.

67. Hu, N., Chen, X. and Sun, J. (2015). Regression Analysis of Length-biased and Right-censored Failure Time Data with Missing Covariates. Scandinavian Journal of Statistics,438-452.

68. Feng, Y., Ma, L. and Sun, J. (2015). Regression Analysis of Current Status Data underthe Additive Hazards Model with Auxiliary Covariates. Scandinavian Journal of Statistics,42, 118-136.

69. Wang, P., Tong, X., Zhao, S. and Sun, J. (2015). Regression Analysis of Left-truncatedand Case I Interval-censored Data with the Additive Hazards Model. Communications inStatistics Theory and Methods, 1537-1551.

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70. Feng, Y., Ma, L. and Sun, J. (2015). Empirical Analysis of Interval-censored FailureTime Data with Linear Transformation Models. Communications in Statistics - Theory andMethods, 44, 5120-5135.

71. Sun, J., Feng, Y. and Zhao, H. (2015). Simple Estimation Procedures for RegressionAnalysis of Interval-censored Failure Time Data under the Proportional Hazards Model. Life-time Data Analysis, 21, 138-155.

72. Zhu, L., Tong, X., Sun, J., Chen, M., Srivastava, D. K., Leisenrling, W. andRobison, L. L. (2014). Regression Analysis of Mixed Recurrent-event and Panel-countData. Biostatistics, 15, 555-568.

73. Feng, Y. and Sun, J. (2014). Hazard Ratio Estimation for Two Sample Case underInterval-censored Failure Time Data. Biometrical Journal, 56, 219-229.

74. Li, J., Tong, X. and Sun, J. (2014). Sieve Estimation for the Cox Model with ClusteredInterval-Censored Failure Time Data. Statistics in Biosciences, 6, 55-72.

75. Zhu, L., Zhao, H., Sun, J. and Pounds, S. (2014). A Conditional Approach for Regres-sion Analysis of Longitudinal Data with Informative Observation Time and Non-negligibleObservation Duration. Communications in Statistics - Theory and Methods, 43, 4998-5011.

76. Li, Y., Zhao, H., Sun, J. and Kim. K-M. (2014). Nonparametric Tests for Panel CountData with Unequal Observation Processes. Computational Statistics and Data Analysis, 103-111.

77. Zhao, H., Virkler, K. and Sun, J. (2014). Nonparametric Comparison for MultivariatePanel Count Data. Communications in Statistics - Theory and Methods, 43, 644-655.

78. Zhang, X. and Sun, J. (2013). Semiparameric Regression Analysis of Clustered Interval-Censored Failure Time Data with Informative Cluster Size. International Journal of Biostatis-tics, 9, 205-214.

79. Zhang, H., Zhao, H., Sun, J., Wang, D. and Kim, K. M. (2013). Regression Anal-ysis of Multivariate Panel Count Data with Informative Observation Process. Journal ofMultivariate Analysis, 119, 71-80.

80. Li, N., Zhao, H. and Sun, J. (2013). Semiparametric Transformation Models for PanelCount Data with Correlated Observation and Follow-up Times. Statistics in Medicine, 32,3039-3054.

81. Rai, S. N., Pan, J., Yuan, Y., Sun, J., Hudson, M. M. and Srivastava, D. K.(2013). Estimating Incidence Rate on Current Status Data with Application to a Phase IVCancer Trial. Communications in Statistics - Theory and Methods, 42, 2417-2433.

82. Zhang, B., Tong, X., Zhang, J., Wang, C. and Sun, J. (2013). Efficient Estimationfor Linear Transformation Models with Current Status Data. Communications in Statistics -Theory and Methods, 42, 2491-2503.

83. Zhao, H., Li, Y. and Sun, J. (2013). Semiparametric Analysis of Multivariate Panel CountData with Dependent Observation Process and a Terminal Event. Journal of NonparametricStatistics, 25, 379-394.

84. Zhang, H., Sun, J. and Wang, D. (2013). Variable Selection and Estimation for Multi-variate Panel Count Data via the Seamless-L0 Penalty. The Canadian Journal of Statistics,41, 368-385.

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85. Zhu, L., Tong, X., Zhao, H., Sun, J., Srivastava, D., Leisenring, W. and Robison,L. (2013). Statistical Analysis of Mixed Recurrent Event Data with Application to CancerSurvivor Study. Statistics in Medicine, 32, 1954-1963.

86. Zhao, H., Li, Y. and Sun, J. (2013). Analysing Panel Count Data with DependentObservation Process and a Terminal Event. The Canadian Journal of Statistics, 41, 174-191.

87. Zhu, L., Zhao, H., Sun, J., Pounds, S. and Zhang, H. (2013). Joint Analysis ofLongitudinal Data and Recurrent Episodes Data with Application to Medical Cost Analysis.Biometrical Journal, 55, 5-16.

88. Zhao, X., Duan, R, Zhao, Q. and Sun, J. (2013). A New Class of Generalized Log RankTests for Interval-Censored Failure Time Data. Computational Statistics and Data Analysis,60, 123-131.

89. Zhao, X., Tong, X. and Sun, J. (2013). Robust Estimation for Panel Count Data withInformative Observation Times. Computational Statistics and Data Analysis, 57, 33-40.

90. Li, J., Wang, C. and Sun, J. (2012). Regression Analysis of Clustered Interval-CensoredFailure Time Data with the Additive Hazards Model. Journal of Nonparametric Statistics,24, 1041-1050.

91. Zhang, X-C, Wang, Z., Zhang, X., Le, M. H., Sun, J., Xu, D., Cheng, J. andStacey, G. (2012). Evolutionary Dynamics of Protein Domain Architecture in Plants.BMC Evolutionary Biology, 12: 6.

92. Li, Y., Sun, J. and Song, S. (2012). Statistical Analysis of Bivariate Failure Time Datawith Marshall-Olkin Weibull Models. Computational Statistics and Data Analysis, 56, 2041-2050.

93. Wang, C., Sun, J., Sun, L., Zhou, J. and Wang, D. (2012). Nonparametric Estimationof Current Status Data with Dependent Censoring. Lifetime Data Analysis, 18, 434-445.

94. Tong, X., Hu, T. and Sun, J. (2012). Efficient Estimation For Additive Hazards Regres-sion with Bivariate Current Status Data. Scientia Sinica Mathematica, 763-774.

95. Zhu, L., Sun, J., Srivastava, D. K., Tong, X., Leisenring, W. and Robison, L. L.(2011). Semiparametric Transformation Models for Joint Analysis of Multivariate Recurrentand Terminal Events. Statistics in Medicine, 30, 3010-3023.

96. Zhao, X. and Sun, J. (2011). Nonparametric Comparison for Panel Count Data withUnequal Observation Processes. Biometrics, 67, 770-779.

97. Li, N., Park, D-H., Sun, J. and Kim, K. (2011). Semiparametric Transformation Modelsfor Multivariate Panel Count Data with Dependent Observation Process. The CanadianJournal of Statistics, 39, 458-474.

98. Zhao, X., Balakrishnan, N. and Sun, J. (2011). Nonparametric Inference Based onPanel Count Data. Test, 20, 1-71.

99. Lee, K. H., Chakraborty, S. and Sun, J. (2011). Bayesian Variable Selection in Semi-parametric Proportional Hazards Model for High Dimensional Survival Data. The Interna-tional Journal of Biostatistics, 7, Article 21.

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100. Zhu, L., Sun, J., Tong, X. and Pounds, S. (2011). Regression Analysis of LongitudinalData with Informative Observation Times and Application to Medical Cost Data. Statisticsin Medicine, 30, 1429-1440.

101. Li, N., Sun, L. and Sun, J. (2010). Semiparametric Transformation Models for PanelCount Data with Dependent Observation Processes. Statistics in Biosciences, 2, 191-210.

102. Zhang, Z. and Sun, J. (2010). Interval Censoring. Statistical Methods in Medical Re-search, 19, 53-70.

103. Zhu, L., Sun, J., Tong, X. and Srivastava, D. K. (2010). Regression Analysis of Mul-tivariate Recurrent Event Data with a Dependent Terminal Event. Lifetime Data Analysis,16, 478-490.

104. Chen, L. and Sun, J. (2010). A Multiple Imputation Approach to the Analysis of Interval-censored Failure Time Data with the Additive Hazards Model. Computational Statistics andData Analysis, 54, 1109-1116.

105. Chen, L. and Sun, J. (2010). Multiple Imputation to Regression Analysis of Interval-censored Failure Time Data with Linear Transformation Models. Far East Journal of Theo-retical Statistics, 33, 41-55.

106. Li, Y., Suchy, A. and Sun, J. (2010). Nonparametric Treatment Comparison for CurrentStatus Data. Journal of Biometrics & Biostatistics, 1, 102.

107. Wang, L., Sun, J. and Tong, X. (2010). Regression Analysis of Case II Interval-censoredFailure Time Data with the Additive Hazards Model. Statistica Sinica, 20, 1709-1723.

108. Zhang, X. and Sun, J. (2010). Regression Analysis of Clustered Interval-Censored FailureTime Data with Informative Cluster Size. Computational Statistics and Data Analysis, 54,1817-1823.

109. Chen, M.-H., Tong, X. and Sun, J. (2009). A Frailty Model Approach for RegressionAnalysis of Multivariate Current Status Data. Statistics in Medicine, 28, 3424-3436.

110. Sun, J. and Shen, J. (2009). Efficient Estimation for the Proportional Hazards Model withCompeting Risks and Current Status Data. The Canadian Journal of Statistics, 37, 592-606.

111. Sun, L., Zhu, L. and Sun, J. (2009). Regression Analysis of Multivariate Recurrent EventData with Time-varying Covariate Effects. Journal of Multivariate Analysis, 100, 2214-2223.

112. Deng, D., Fang, H. and Sun, J. (2009). Nonparametric Estimation for Doubly CensoredFailure Time Data. Journal of Nonparametric Statistics, 21, 801-814.

113. Tong, X., He, X., Sun, L. and Sun, J. (2009). Variable Selection for Panel CountData via Nonconcave Penalized Estimating Function. Scandinavian Journal of Statistics, 36,620-635.

114. Chen, P., Shen, J. and Sun, J (2009). Statistical Analysis of Clustered Current StatusData. International Journal of Intelligent Technologies and Applied Statistics, 2, 21-31.

115. Chen, P., He, R., Shen, J. and Sun, J. (2009). Regression Analysis of Right-censoredFailure Time Data with Missing Censoring Indicators. Acta Mathematicae Applicatae Sinica,25, 415-426.

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116. Zhang, B., Tong, X and Sun, J. (2009). Efficient Estimation for the Proportional OddsModel with Bivariate Current Status Data. Far East Journal of Theoretical Statistics, 27,113-132.

117. He, X., Tong, X. and Sun, J. (2009). Semiparametric Analysis of Panel Count Datawith Correlated Observation and Follow-up Times. Lifetime Data Analysis, 15, 177-196.

118. Tong, X., Zhu, L. and Sun, J. (2009). Variable Selection for Recurrent Event Data viaNonconcave Penalized Estimating Function. Lifetime Data Analysis, 15, 197-215.

119. Chen, L. and Sun, J. (2009). A Multiple Imputation Approach to the Analysis of CurrentStatus Data with the Additive Hazards Model. Communications in Statistics: Theory andMethods, 38, 1009-1018.

120. Zhu, L., Sun, J. and Wood, P. (2009) Statistical Methods for the Analysis of Alcoholand Drug Uses for Young Adults. Journal of Data Science, 7, 469-485.

121. Tong, X., He, X., Sun, J. and Lee, M-L (2008). Joint Analysis of Current Status andMarker Data: An Extension of a Bivariate Threshold Model. The International Journal ofBiostatistics, Article 21.

122. Tong, X., Chen, M.-H. and Sun, J. (2008). Regression Analysis of Multivariate Interval-censored Failure Time Data with Application to Tumorigenicity Experiments. BiometricalJournal, 50, 364-374.

123. He, X., Tong, X., Sun, J. and Cook, R. J. (2008). Regression Analysis of MultivariatePanel Count Data. Biostatistics, 9, 234-248.

124. Wang, L, Sun, J. and Tong, X. (2008). Efficient Estimation for the Proportional HazardsModel with Bivariate Current Status Data. Lifetime Data Analysis, 14, 134-153.

125. Zhao, X., Zhao, Q., Sun, J. and Kim, J. S. (2008) Generalized Log-Rank Tests forPartly Interval-Censored Failure Time Data. Biometrical Journal, 50, 375-385.

126. Zhu, L., Tong, X. and Sun, J. (2008). A Transformation Approach for the Analysis ofInterval-censored Failure Time Data. Lifetime Data Analysis, 14, 167-178.

127. Zhu, C., Yues, K. C., Sun, J. and Zhao, X. (2008) A Nonparametric Test for Interval-censored Failure Time Data with Unequal Censoring. Communications in Statistics: Theoryand Methods, 37, 1895-1904.

128. Sun, J., Sun, L. and Liu, D. (2007). Regression Analysis of Longitudinal Data in thePresence of Informative Observation and Censoring Times. Journal of the American StatisticalAssociation, Vol. 102, 1397-1406.

129. Sun, J., Tong, X. and He, X. (2007). Regression Analysis of Panel Count Data withDependent Observation Times. Biometrics, Vol. 63, 1053-1059.

130. Tong, X., Zhu, C. and Sun, J. (2007). Semiparametric Regression Analysis of Two-sample Current Status Data with Applications to Tumorigenicity Experiments. The CanadianJournal of Statistics, Vol. 35, 575-584.

131. Chen, M., Tong, X. and Sun, J. (2007). The Proportional Odds Model for MultivariateInterval-censored Failure Time Data. Statistics in Medicine, Vol. 26, 5147-5161.

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132. Zhao, Q. and Sun, J. (2007). Cox Survival Analysis of Microarray Gene Expression DataUsing Correlation Principal Component Regression. Statistical Applications in Genetics andMolecular Biology, Vol. 6, No. 1, Article 16.

133. Zhang, Z., Sun, L., Sun, J. and D. M. Finkelstein (2007). Regression Analysis ofFailure Time Data with Informative Interval Censoring. Statistics in Medicine, Vol. 26,2533-2546.

134. Park, D., Sun, J. and Zhao, X. (2007). A Class of Two-sample Nonparametric Tests forPanel Count Data. Communications in Statistics: Theory and Methods, Vol. 36, 1611-1625.

135. Sun, J., Sun, L. and Zhu, C. (2007). Testing the Proportional Odds Model for Interval-censored Data. Lifetime Data Analysis, Vol. 13, 37-50.

136. Wang, L., Sun, L. and Sun, J. (2006). A Goodness-of-fit Test for the Marginal CoxModel for Correlated Interval-censored Failure Time Data. Biometrical Journal, Vol. 48,1020-1028.

137. Sun, L., Zhang, Z. and Sun, J. (2006). Additive Hazards Regression of Failure TimeData with Covariate Measurement Errors. Statistica Neerlandica, Vol. 60, No. 4, 497-509.

138. Sun, L., Wang, L. and Sun, J. (2006). Estimation of the Association for BivariateInterval-censored Failure Time Data. Scandinavian Journal of Statistics, Vol. 33, 637-649.

139. Zhao, Q. and Sun, J. (2006). Semiparametric and Nonparametric Analysis of RecurrentEvents with Observation Gaps. Computational Statistics and Data Analysis, Vol. 51, 1924-1933.

140. Sun, L., Liu, J., Sun, J and Zhang, M. (2006). Modeling the Subdistribution of aCompeting Risk. Statistica Sinica, Vol. 16, No. 4, 1367-1385.

141. Sun, L., Park, D-H. and Sun, J. (2006). The Additive Hazards Model for RecurrentGap Times. Statistica Sinica, Vol. 16, No. 3, 919-932.

142. Guo, B., Sleper, D., Sun, J., Nguyen, H. T., Arelli, P. R. and Shannon, J. G.(2006). Pooled analysis of data from multiple quantitative trait locus mapping populations.Theoretical and Applied Genetics, Vol. 133, 39-48.

143. Sun, J., Park, D-H., Sun, L. and Zhao, X (2005). Semiparametric Regression Analysisof Longitudinal Data with Informative Observation Times. Journal of the American StatisticalAssociation, Vol. 100, No. 3, 882-889.

144. Zhang, Z., Sun, L., Zhao, X. and Sun, J. (2005). Regression Analysis of Interval-censored Failure Time Data with Linear Transformation Models. The Canadian Journal ofStatistics, Vol. 33, No. 1, 61-70.

145. Sun, J. and Sun, L. (2005). Semiparametric Linear Transformation Models for CurrentStatus Data. The Canadian Journal of Statistics, Vol. 33, No. 1, 85-96.

146. Zhang, Z., Sun, J. and Sun, L. (2005). Statistical Analysis of Current Status Data withInformative Observation Times. Statistics in Medicine, Vol. 24, 1399-1407.

147. Sun, J., Zhao, Q. and Zhao, X. (2005). Generalized Log Rank Tests for Interval-CensoredFailure Time Data. Scandinavian Journal of Statistics, Vol. 32, 49-57.

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148. Fang, H., Li, G. and Sun, J. (2005). Maximum Likelihood Estimation in a Semiparamet-ric Logistic/Proportional-Hazards Mixture Model. Scandinavian Journal of Statistics, Vol.32, 59-75.

149. Zhao, X., Lim, H. J. and Sun J. (2005). Estimating Equation Approach for RegressionAnalysis of Failure Time Data in the Presence of Interval-Censoring. Journal of StatisticalPlanning and Inference, Vol. 129, 145-157.

150. Sun, L., Kim, Y. and Sun, J. (2004). Regression Analysis of Doubly Censored FailureTime Data Using the Additive Hazards Model. Biometrics, Vol. 60, No. 3, 637-643.

151. Zhou, X., Sun, L. and Sun, J. (2004). A Uniform Semiparametric Approach for Longi-tudinal Data Analysis. Far East Journal of Theoretical Statistics, Vol. 13, 233-256.

152. Sun, J., Lim, H. J. and Zhao, X. (2004). An Independence Test for Doubly CensoredFailure Time Data. Biometrical Journal, Vol. 46, 503-511.

153. Yang, J., Sun, J. and Hammer, D. (2004). Distribution Normality of pH and H+

Activities in Soil. Environmental Chemistry Letters, 2, 159-162.

154. Zhao, Q. and Sun, J. (2004). Generalized Log-rank Test for Mixed Interval-censoredFailure Time Data. Statistics in Medicine, Vol. 23, No. 10, 1621-1629.

155. Sun, J., Sun, L. and Flournoy, N. (2004). Additive Hazards Model for Competing RisksAnalysis of the Case-cohort Design. Communication in Statistics: Theory and Methods, Vol.33, No. 2, 351-366.

156. Sun, J., Kim, Y. and Schmitt, C. J. (2003). Longitudinal Analysis of BioaccumulativeContaminants in Freshwater Fishes. Environmental and Ecological Statistics, Vol. 10, 419-428.

157. Sun, J., Liao, Q. and Chiu, J-R. (2003). Simple and Direct Nonparametric Estimation ofa Survival Function in the Presence of Reporting Lags. Journal of Nonparametric Statistics,395-401.

158. Sun, J. and Fang, H. B. (2003). A Nonparametric Test for Panel Count Data. Biometrika,Vol. 90, 199-208.

159. Hu, X. J., Sun, J. and Wei, LJ. (2003). Regression Parameter Estimation from PanelCounts. Scandinavian Journal of Statistics, Vol. 30, 25-43.

160. Lim, H. J. and Sun, J. (2003). Nonparametric Tests for Interval-Censored Failure TimeData. Biometrical Journal, Vol. 45, 263-276.

161. Fang, H., Sun, J. and Lee, M-L T. (2002). Nonparametric Survival Comparison forInterval-censored Continuous Data. Statistica Sinica, Vol. 12, 1073-1083.

162. Lim, H. J., Sun, J. and Matthews, D. E. (2002). Maximum Likelihood Estimation of aSurvival Function with a Change-Point for Truncated and Interval-Censored Data. Statisticsin Medicine, Vol. 21, 743-752.

163. Fang, H. and Sun, J. (2001). Consistency of Nonparametric Maximum Likelihood Es-timation of a Distribution Function Based on Doubly Interval-Censored Failure Time Data.Statistics and Probability Letters, Vol. 55, 311-318.

164. Sun, J. (2001). Nonparametric Test for Doubly Interval-Censored Failure Time Data. Life-time Data Analysis, Vol. 7, 363-375.

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165. Sun, J. and Rai, S. N. (2001). Nonparametric Tests for the Comparison of Point Processesbased on Incomplete Data. Scandinavian Journal of Statistics, Vol. 28, 725-732.

166. Sun, J. (2001). A Semiparametric Regression Analysis of CD4 Cell Counts. Statistics inMedicine, Vol. 20, 3313-3322.

167. Sun, J., Kim, Y., Hewett, J., Johnson, J. C., Farmer, J. and Gibler, M. (2001).Evaluation of Traffic Injury Prevention Programs Using Counting Process Approaches. Jour-nal of the American Statistical Association, Vol. 96, 469-475.

168. Sun, J. (2001). Variance Estimation of a Survival Function for Interval-censored SurvivalData. Statistics in Medicine, Vol. 20, 1249-1257.

169. Sun, J. and Song, X. K. (2001). Statistical Analysis of Repeated Measurements withInformative Censoring Times. Statistics in Medicine, Vol. 20, 63-73.

170. Sun, J. and Yang, I. (2000). Nonparametric Tests for Stratum Effects in the Cox Model.Lifetime Data Analysis, Vol. 6, 321-330.

171. Sun, J. and Wei, LJ (2000). Regression Analysis of Panel Count Data with Covariate-Dependent Observation and Censoring Times. Journal of Royal Statistical Society B, 62,293-302.

172. Sun, J. (2000). A Note on Principal Component Analysis for Multi-dimensional Data.Statistics and Probability Letters, Vol. 46, 69-73.

173. Sun, J. (1999). On the Use of Historical Control Data for Trend Test in CarcinogenicityStudies. Biometrics, Vol. 55, No. 4, 1273-1276.

174. Sun, J., Liao, Q. and Pagano, M. (1999). Regression Analysis of Doubly CensoredFailure Time Data with Applications to AIDS Studies. Biometrics, Vol. 55, 909-914.

175. Sun, J. (1999). A Nonparametric Test for Current Status Data with Unequal Censoring. J.R. Statist. Soc. B, Vol. 61, 243-250.

176. Sun, J. (1997). Self-consistency Estimation of Distributions Based on Truncated and DoublyCensored Data with Applications to AIDS Cohort Studies. Lifetime Data Analysis, Vol. 3,No. 4, 305-313.

177. Sun, J. (1997). Statistical Analysis of Near-infrared Spectroscopy : Data Pretreatment.Journal of Chemometrics, Vol. 11, 525-532.

178. Qin, J. and Sun, J. (1997). Statistical Analysis of Right-censored Failure Time Data withPartially Specified Hazard Rates. The Canadian Journal of Statistics, 25, 325-336.

179. Sun, J. (1997). Regression Analysis of Interval-censored Failure Time Data. Statistics inMedicine, Vol. 16, 497-504.

180. Sun, J. and Matthews, D. E. (1997). A Random-effect Regression Model for MedicalFollow-up Studies. The Canadian Journal of Statistics, Vol. 25, No. 1, 101-111.

181. Sun, J. (1996). A Nonparametric Test for Interval-Censored Failure Time Data with Ap-plication to AIDS Studies. Statistics in Medicine, Vol. 15, 1387-1395.

182. Sun, J. (1996). A Multivariate Principal Component Regression Analysis of NIR Data.Journal of Chemometrics, Vol. 10, 1-9.

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183. Sun, J. and Kalbfleisch, J. D. (1996). Nonparametric Tests of Tumor Prevalence Data.Biometrics, Vol. 52, 726-731.

184. Sun, J. (1995). Empirical Estimation of a Distribution Function with Truncated and DoublyInterval-Censored Data and Its Application to AIDS Studies. Biometrics, Vol. 51, No. 3,1096-1104.

185. Sun, J. (1995). Correlation Principal Component Regression Analysis of NIR Data. Journalof Chemometrics. Vol. 9, 21-29. 5

186. Sun, J. and Kalbfleisch, J. D. (1995). Estimation of the Mean Function of Point ProcessesBased on Panel Data. Statistica Sinica. Vol. 5, 279-289.

187. Sun, J. and Kalbfleisch, J. D. (1993). The Analysis of Current Status Data on PointProcesses. Journal of the American Statistical Association. Vol. 88, 1449-1454.

Book Chapters

188. Sun, J., Zhou, Q. and Chen, D. G. (2018). Clinical Trials: Interval-censored FailureTime Data. Encyclopedia of Biopharmaceutical Statistics, Fouth Edition, Editor: Shein-Chung Chow, Chapman and Hall/CRC, 589-596.

189. Cook, T., Zhang, Z. and Sun, J. (2017). Simulation Studies on the Effects of theCensoring Distribution Assumption in the Analysis of Interval-Censored Failure Time Data.Monte-Carlo Simulation-Based Statistical Modeling, Chapter 15, Editors: D.-G. Chen andJ.D. Chen, Springer, 319-346.

190. Li, Y., He, X., Wang, H. and Sun, J. (2016). Joint Analysis of Longitudinal Data andInformative Observation Times with Time-Dependent Random Effects. New Developmentin Statistical Modeling, Inference and Applications, Editors: Jin, Z., Liu, M. and Luo, X.,Springer, 37-52.

191. Ma, L., Feng, Y., Chen, D-G. and Sun, J. (2015). Interval-Censored Time-to-EventData and Their Applications in Clinical Trials. Clinical Trial Biostatistics and Biopharma-ceutical Applications, Editors: Chen, D-G. and Water, Y., CRC Press: Chapman & Hall,307-326.

192. Li, Y., He, X., Wang, H. and Sun, J. (2014). Joint Analysis of Longitudinal Data andInformative Observation Times with Time-Dependent Random Effects. New Developments inStatistical Modeling, Inference and Application, Editors: Jin, Z., Liu, M. and Luo, X., ICSABook Series in Statistics, Springer, 37-51.

193. Sun, J. and Li, J. (2013). Interval Censoring. Handbook of Survival Analysis, Edi-tors: Klein, J. P., van Houwelingen, H. C., Ibrahimi, J. G. and Scheike, T. H., Chapman &Hall/CRC, 369 - 390.

194. Sun, J. and Li, J. (2012). Overview of Recent Developments for Interval-Censored Data.Interval-censored time-to-event data: Methods and Applications, Editors: Chen, D.G., Sun,J. and Peace, K.E., Chapman & Hall/CRC, 3-28.

195. Chen, D. G., Yu, L., Peace, K. E. and Sun, J. (2012). Bias and Its Remedy in Interval-Censored Time-to-Event Applications. Interval-censored time-to-event data: Methods andApplications, Editors: Chen, D.G., Sun, J. and Peace, K.E., Chapman & Hall/CRC, 311-328.

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196. Sun, J. (2011). Applications of Counting Processes and Martingales in Survival Analysis.Stochastic Analysis, Stochastic Systems, and Applications to Finance, Editors: Tsoi, A.,Nualart, D. and Yin, G., WSPC, 231-244.

197. Sun, J. (2009). Panel Count Data. Handbook of Statistical Methods in Life and HealthSciences, Editor: Balakrishnan, N., John Wiley & Sons. Ltd.

198. Rai, S. N. and Sun, J. (2008). Truncation In Time to Event Data. Encyclopedia ofQuantitative Risk Analysis and Assessment, eds. Melnick, E. L. and Everitt, B. S., JohnWiley & Sons. Ltd.

199. Rai, S. N. and Sun, J. (2008). Types of Censoring in Time to Event Data. Encyclopediaof Quantitative Risk Analysis and Assessment, eds. Melnick, E. L. and Everitt, B. S., JohnWiley & Sons. Ltd.

200. Zhu, C. and Sun, J. (2006). Variance Estimation of a Survival Function with DoublyCensored Failure Time Data. Advances in Statistical Methods for the Health Sciences, eds.Balakrishnan, N., Auget, J.-L., Mesbah, M. and Molenberghs, G., Springer, 225-235.

201. Sun, J. (2005). Interval Censoring. Encyclopedia of Biostatistics, Second Edition, JohnWiley & Sons Ltd., 2603-2609.

202. Sun, J. (2004). Statistical Analysis of Doubly Interval-censored Failure Time Data. Hand-book of Statistics: Survival Analysis, eds. Balakrishnan, N. and Rao, C. R., Elsevier, NorthHolland, 105-122.

203. Sun, J., Zhao, Q. and Rai, S. N. (2002). A Nonparametric Comparison of TumorIncidences with Intermediate Lethality and Different Death Rates. Recent Advances in Sta-tistical Methods, ed. Y. P. Chaubey, World Scientific Publishing Inc., London, 296-303./tex/Paper/PP1/P39.Rai/

204. Rai, S. N., Sun, J. and D. Hunt (2002). Analysis of Occult Tumor Trial Data with Vary-ing Lethality. Recent Advances in Statistical Methods, ed. Y. P. Chaubey, World ScientificPublishing Inc., London, 233-251.

205. Sun, J. (1998). Interval Censoring. Encyclopedia of Biostatistics, John Wiley & Sons Ltd.,2090-2095.

206. Lawless, J. F. and Sun, J. (1991). A Comprehensive Back-Calculation Framework for theEstimation and Projection of AIDS Cases. In AIDS Epidemiology: Methodological Issues,ed. N. P. Jewell, K. Dietz and V. T. Farewell, pp. 81-104, Boston: Birkhauser.

207. Sun, J. and Zou, G. Y. (1987). Estimation of Ellipsoidal Distribution Functions. In TheSymposium Proceeding of Sino-States Statistical Conference, Beijing, P.R.China.

INVITED PRESENTATIONS :

Plenary Talks, Short Courses or Guest Lectures

1. College of Mathematics, Zhejiang University, Survival Analysis and its Recent Devel-opment (Short Course). Hangzhou, Zhejiang, China, June 14 - 15, 2018.

2. Joint Conference on Biometrics & Biopharmaceutical Statistics (CEN ISBS Vi-enna 2017, Interval-censored Time-to-Event Data: Methods and Applications (Short Coursewith Din Chen). Vienna, Austria, August 28 - September 1, 2017.

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3. Lilac International Conference of Application on Statistics, Regression Analysis ofInformatively Interval-censored Failure Time Data (Keynote Speaker). Harbin Institute ofTechnology, Harbin, China, June 2 - 5, 2017.

4. Research Conference on Modern Statistical Methods of Environmental and Re-source Branch of Chinese Practical Statistical Society, Recent Developments on theAnalysis of Interval-censored Failure Time Data (Plenary Speaker). Nanning, Jiangxi, China,April 7 - 9, 2017.

5. Department of Biostatistics, University of California at Log Angeles, StatisticalAnalysis of Interval-censored Failure Time Data (Guest Lecture). Los Angeles, CA, October,25, 2016.

6. JSM 2014, Interval-censored Time-to-Event Data: Methods and Applications — ProfessionalDevelopment Continuing Education Course (Short Course with Din Chen), Boston, MA,August 5, 2014.

7. The 68th Deming Conference on Applied Statistics, Interval-censored Time-to-EventData: Methods & Applications (Short Course with Din Chen), Atlantic City, New Jersey,December 3 - 7, 2012.

8. Department of Statistics, Columbia University, Statistical Analysis of Interval-censoredFailure Time Data (Guest Lecture). New York City, New York, October 19, 2012.

9. Sanofi-Aventis, Statistical Analysis of Interval-censored Failure Time Data (Short Course).Bridgewater, New Jersey, October, 23, 2009.

10. SAS Institute Inc., Univariate Interval-Censored Failure Time Data (Short Course). Cary,North Carolina, May 29, 2009.

11. PhRMA PFS Working Group Meeting, Statistical Analysis of Interval-Censored FailureTime Data — Treatment Comparison (Short Course). Orlando, Florida, May 28, 2009.

12. Workshop on Missing Information in Survival Data Beyond Right Censoring,Methods for Interval-censored Failure Time Data and Beyond I, II (Plenary Speaker). Ghent,Belgium, September 18-20, 2008.

National and International Meetings

13. 2019 Joint Statistical Meetings, A Coupla Model Approach for Regression Analysis ofInformatively Interval-censored Failure Time Data. Denver, Colorado, USA, July 27 - August1, 2019.

14. International Symposium in Statistics and Biostatistics 2019, Variable Selection ofInterval-censored Failure Time Data. University of Pretoria, Pretoria, South Africa, July 18- 20, 2019.

15. 2019 ICSA China Conference, A Copula Model Approach for Regression Analysis ofInformatively Interval-censored Failure Time Data. Nankai University, Tianjin, China, July1 - 4, 2019.

16. 2019 ICSA Applied Statistics Symposium, Simultaneous Estimation and Variable Se-lection for Interval-censored Failure Time data. Raleigh, NC, USA, June 9 - 12, 2019.

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17. 2019 ICSA Conference on Data Science, Simultaneous Estimation and Variable Selectionfor Incomplete Event History Data. Xishuangbanna, Yunnan, China, January 11 - 14, 2019.

18. 2018 Joint Statistical Meetings, Regression Analysis of Mixed Recurrent Event and PanelCount Data. Vancouver, Canada, July 28 - August 2, 2018.

19. The 2018 Workshop on Statistics and Data Science, Regression Analysis of Informa-tively Interval-censored Failure Time Data. The Centre for Statistical Sciences and Mathe-matical College, Sichuan University, Chengdu, Sichuan, China, July 7 - 8, 2018.

20. The 2018 Workshop on Statistics, Joint Analysis of Interval-censored Failure Time Dataand Panel Count Data. Center of Statistical Research, School of Statistics, SouthwesternUniversity of Finance and Economics, Chengdu, Sichuan, China July 6, 2018.

21. The 2018 ICSA China Conference with the Focus on Data Science, Joint Analysisof Interval-censored Failure Time Data and Panel Count Data. Ocean University of China,Qingdao, Shangdong, China, July 2 - 5, 2018.

22. International Conference on Statistics and Data Science, Simultaneous Estimationand Variable Selection for Incomplete Event History Studies. Wenzhou University, Wenzhou,Zhejiang, China, December 22 - 24, 2017.

23. 2017 Joint Statistical Meetings, Some Methods for the Analysis of Interval-censoredFailure Time Data. Baltimore, Maryland, July 29 - August 3, 2017.

24. The first International Confernece on Economics and Statistics (EcoSta 2017), Re-gression Analysis of Mixed and Incomplete Recurrent Event Data. The Hong Kong Universityof Science and Technology, Hong Kong, June 15 - 17, 2017.

25. 2017 Conference On Lifetime Data Science: Data Science, Precision Medicine andRisk Analysis with Lifetime Data, Joint Analysis of Interval-censored Failure Time Dataand Panel Count Data. University of Connecticut, Storrs, Connecticut, May 25 - 27, 2017.

26. The 10th ICSA International Conference on Global Growth of Modern Statisticsin the 21st Century, Regression Analysis of Bivariate Interval-censored Failure Time Data,Shanghai Jiao Tong University, Shanghai, China, December 19 - 22, 2016.

27. The 9th International Conference of the ERCIM WG on Computational andMethodological Statistics, Regression Analysis of Mixed and Incomplete Recurrent EventData, University of Seville, Seville, Spain, 9 - 11 December 2016.

28. Latent Variables 2016 Conference, Regression Analysis of Informatively Interval-censoredFailure Time Data, University of South Carolina, Columbia, South Carolina, October 14 - 16,2016.

29. 2016 Joint Statistical Meetings, Some Methods for the Analysis of Informatively Interval-censored Failure Time Data, Chicago, Illinois, July 30 - August 4, 2016.

30. International Workshop on Biostatistics and Bioinformatics, Regression Analysis ofBivariate Interval-Censored Failure Time Data, Ocean University of China, Qingdao, China,July 4, 2016.

31. The Symposium of Frontiers of Statistics and Data Sciences, Sieve Maximum Like-lihood Regression Analysis of Bivariate Interval-Censored Failure Time Data, Hong KongPolytechnic University, Hong Kong, June 25 - 26, 2016.

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32. The 8th International Conference of the ERCIM WG on Computational andMethodological Statistics, Regression Analysis of Longitudinal Data with Informative andRecurrent Episode Observation processes, University of London, UK, December 12 - 14, 2015.

33. 2015 Joint Statistical Meetings, Regression Analysis of Longitudinal Data with Informa-tive and Recurrent Episode Observation Processes, Seattle, Washington, August 8 - 13, 2015.

34. The ICSA-Canada Chapter 2015 Symposium - Embracing Challenges and Oppor-tunities of Statistics and Data Science in the Modern World, Regression Analysis ofIncomplete Event History Studies, Calgary, Canada, August 4 - 6, 2015.

35. The 2015 International Chinese Statistical Association China Statistics Confer-ence, Sieve Maximum Likelihood Regression Analysis of Bivariate Interval-censored FailureTime Data, Fudan University, Shanghai, China, July 6 - 7, 2015.

36. The 2015 International Chinese Statistical Association China Statistics Confer-ence, Statistical Analysis of Mixed Recurrent Event and Panel Count Data, Fudan University,Shanghai, China, July 6 - 7, 2015.

37. The 9th International Conference on Mathematical Methods in Reliability, MMR2015, Regression Analysis of Dependent Current Status Data Under the Proportional HazardsModel, University of Tsukuba (Tokyo Campus), Tokyo, Japen, June 1 - 4, 2015.

38. Statistical Analysis of Multi-Outcome Data Workshop, Regression Analysis of Lon-gitudinal Data with Informative and Recurrent Episode Observation processes, University ofCambridge, Cambridge, UK, June 29 - July 1, 2014.

39. The Second International Forum on Non/Semi-parametric Statistics, Sieve Maxi-mum Likelihood Regression Analysis of Dependent Current Status Data, Southwestern Uni-versity of Finance and Economic, Chengdu, China, June 24 - 26 2014.

40. The 3rd Workshop on Biostatistics and Bioinformatics: Celebrating the Worldof Statistics, Simple Estimation Procedures for Regression Analysis of Interval-censoredFailure Time Data under the Proportional Hazards Model, Georgra State University, Atlanta,Georgra, May 9 - 11, 2014.

41. The Ninth ICSA International Conference: Challenges of Statistical Methods forInterdisciplinary Research and Big Data, Statistical Analysis of Mixed Panel CountData, Hong Kong Baptist University, Hong Kong, December 20 - 23, 2013.

42. IMS-China International Conference on Statistics and Probability, Regression Anal-ysis of Longitudinal Data with Informative Observation Times and Application to MedicalCost Data, Chengdu, Sichuan, China, June 30 - July 4, 2013.

43. Joint Conference by the International Chinese Statistical Association and the In-ternational Society for Biopharmaceutical Statistics, Nonparametric Treatment Com-parison for Interval-Censored Data with Unequal Censoring, Washington DC, June 9 - 12,2013.

44. Symposium in Honor of Jack Kalbfleisch, Semiparametric Regression Analysis of PanelCount Data with Dependent Observation Process. Ann Arbor, Michigan, September, 28 - 29,2012.

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45. Second Joint Biostatistics Symposium of Renmin University of China, An Approx-imation Partial Likelihood Analysis of Interval-censored Data. Beijing, P.R. China, July 7 -8, 2012.

46. The 5th Annual Symposium of Kansas-Western Missouri Chapter of the ASA- Innovations in Design, Analysis, and Dissemination: Frontiers in BiostatisticalMethods, Recent Advances in the Analysis of Interval-censored Failrue Time Data and TheirApplications. Kansas City, Missouri, April 26 - 27, 2012.

47. Conference on Risk Assessment and Evaluation of Predictions, Nonparametric Es-timation for Dependent Interval-censored Failure Time Data. Washington DC, Maryland,October 12-14, 2011.

48. 2011 Joint Statistical Meetings, Regression Analysis of Longitudinal Data with DependentObservation Process and Application to Medical Cost Data. Miami, Florida, July 30-August4, 2011.

49. The 3rd IMS-China International Conference on Statistics and Probability, Statis-tical Analysis of Informatively Interval-censored Failure Time Data. Xian, China, July 8-11,2011.

50. 2011 Eastern North American Region Meeting of International Biometric Society,Analysis of Recurrent Event Studies with Incomplete Information and Complex Structure.Miami, Florida, March 20-23, 2011.

51. 2011 International Conference on Applied Statistics, Nonparametric and Semipara-metric Analysis of Panel Count Data. Tamkang University, Taipei, Taiwan, March 11 - 12,2011.

52. International Conference on Applied Statistics and Financial Mathematics, Anal-ysis of Recurrent Event Studies with Incomplete Information and Complex Structure. TheHong Kong Polytechnic University, Hong Kong, December 16 - 18, 2010.

53. International Conference on Statistics and Society, The Additive Hazard Model forInformatively Interval-censored Failure Time Data. Beijing, China, July 10 - 11, 2010.

54. International Conference on Statistical Analysis of Complex Data, SemiparametricTransformation Models for Panel Count Data with Informative Observation Process. Kun-ming, China, July 1-3, 2010.

55. Statistical Methods and Life History Analysis: A Conference in Celebration of theContributions of Jack Kalbfleisch and Jerry Lawless to the Statistical Sciences,Statistical Analysis of Panel Count Data with Dependent Observation Process. Waterloo,Canada, May 20 - 21, 2010.

56. IMS-China International Conference on Statistics and Probability 2009, Statisticalanalysis of interval-censured count data. Weihai, China, July 3 - 6, 2009.

57. The 1st IMS Asia Pacific Rim Meeting, Statistical Analysis of Informatively CensoredFailure Time Data. Seoul, Korea, June 28 - July 1, 2009.

58. ICSA 2009 Applied Statistics Symposium, Regression Analysis of Interval-censoredFailure Time Data. San Francisco, California, June 21-24, 2009.

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59. 2009 Eastern North American Region Meeting of International Biometric Society,Regression Analysis of Panel Count Data with Dependent Observation Process. San Antonio,Texas, March 15-18, 2009.

60. 2008 Classification Society of North America Meeting, Microarray Analysis UsingSurvival Techniques. St. Louis, Missouri, June 5-7, 2008.

61. 2008 Eastern North American Region Meeting of International Biometric Society,Regression Analysis of Longitudinal Data with Dependent Observation Process. Arlington,Virginia, March 16-19, 2008.

62. Kansas-Missouri Winter School of Applied Probability, Applications of CountingProcesses and Martingales in Survival Analysis. University of Missouri, Columbia, Missouri,February 14-15, 2008.

63. 2007 Joint Statistical Meetings, Statistical Analysis of Multivariate Interval-censoredData. Salt Lake City, Utah, July 29-August 2, 2007.

64. 35th Annual Meeting of the Statistical Society of Canada, Regression Analysis ofMultivariate Interval-censored Failure Time Data. Memorial University of Newfoundland, St.John’s, Canada, June 10-13, 2007.

65. ICSA 2007 Applied Statistics Symposium, Regression Analysis of Longitudinal Datawith Outcome Dependent Observation and Follow-up Times. Raleigh, North Carolina, June3-6, 2007.

66. Statistical Science: Present Position and Future Prospects, Recent Developmentsin the Analysis of Interval-Censored Failure Time Data. University of Waterloo, Waterloo,Canada, May 30-June 1, 2007.

67. XXIIIrd International Biometric Conference, Nonparametric and Semiparametric Anal-ysis of Interval-censored Data. McGill University, Montreal, Canada, July 16-21, 2006.

68. ICSA 2006 Applied Statistics Symposium, Semiparametric Transformation Models forInterval-censored Failure Time Data. University of Connecticut, Storrs, Connecticut, June14-17, 2006.

69. 34th Annual Meeting of the Statistical Society of Canada, Regression Analysis ofLongitudinal Data with Informative Observation and Follow-up Times. University of WesternOntario, London, Canada, May 28-31, 2006.

70. Workshop on Event History Analysis in Honor of Niels Keiding, Regression Analysisof Panel Count Data with Dependent Observation Times. University Victor Segalen Bordeaux2, Bordeaux, France, September 15-16, 2005.

71. ICSA 2005 Applied Statistics Symposium, Regression Analysis of Interval-censoredFailure Time Data with Informative Censoring. Bethesda North Marriott Hotel, WashingtonDC, June 12-15, 2005.

72. International Conference on Statistics in Health Sciences, Statistical Analysis of Dou-bly Censored and Truncated Survival Data. Nantes, France, June 23 - 25, 2004.

73. International Conference on Distribution Theory, Order Statistics and Inferencein Honor of Barry C. Arnold, Nonparametric Comparison of Point Processes with PanelCount Data. The University of Cantabria, Santander, Spain, June 16-18, 2004.

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74. Eastern North American Region Meeting of International Biometric Society, Anal-ysis of the Additive Hazards Model with Measurement Errors - Nonparametric CorrectionMethod, Pittsburgh, PA, March 28 - 31, 2004.

75. Third International Conference on Mathematical Methods in Reliability Method-ology and Practice, Nonparametric Tests for Event History Data. Norwegian University ofScience and Technology, Trondheim, Norway, June 17-20, 2002.

76. Third International Conference on Mathematical Methods in Reliability Method-ology and Practice, Nonparametric Survival Comparison for Interval Censored ContinuousData. Norwegian University of Science and Technology, Trondheim, Norway, June 17-20,2002.

77. Fourth Biennial International Conference on Statistics, Probability and RelatedAreas, Estimating Equation Approach for Interval-censored Data. Northern Illinois Univer-sity, DeKalb, Illinois, June 14 - 16, 2002.

78. The Fifth ICSA International Conference, Statistical Analysis of Interval-censored Sur-vival Data. The University of Hong Kong, Hong Kong, August 17 - 19, 2001.

79. The Fourth Canadian Conference in Applied Statistics, Nonparametric Comparisonof Tumor Incidence Rates in Survival/Sacrifice Experiments. Concordia University, Montreal,Canada, July 7, 2001.

80. 2000 Eastern North American Region Meeting of International Biometric Society,Statistical Analysis of Doubly Interval-censored Survival Data. Chicago, Illinois, March 19 -22, 2000.

81. Federation of Analytical and Spectroscopic Society Meeting, Statistical Analysis ofNIR Data — Data Pretreatment. Austin, Texas, October 13, 1998.

82. The XXVth Annual Meeting of Statistical Society of Canada, Regression Analy-sis of Epidemiological Studies with Doubly Censored Failure Time Data. Fredericton, NewBrunswick, Canada, June 4, 1997.

83. SIMS Meeting on Statistical Methodology for the Study of AIDS, Nonparametricand Semiparametric Estimation of AIDS Incubation Distribution Based on AIDS CohortStudies. Waterloo, Canada, April 28, 1994.

Colloquia or Seminars

84. Department of Biostatistics, School of Medicine, Indiana Univesity, Indianapolis,Indiana, September, 13, 2019.

85. School of Mathematics, Wuhan University, Wuhan, Hubei, China, June 18, 2019.

86. School of Statistics and Mathematics, Zhongnan University of Economics andLaw, Wuhan, Hubei, China, June 17, 2019.

87. School of Statistics, Capital University of Economics and Business, Beijing, China,June 6, 2019.

88. Department of Statistics, Florida State University, Tallahassee, Florida, April 19,2019.

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89. Department of Statistics, Northwestern University, Evanston, Illinois, February 27,2019.

90. School of Statistics and Mathematics, Northeast Normal University, Changchun,Jilin, China, January, 17, 2019.

91. Department of Statistics, University of Kentucky, Lexington, Kentucky, October 12,2018.

92. School of Statistics and Management, Shanghai University of Finance and Eco-nomics, Shanghai, China, June 12, 2018.

93. College of Mathematics, Wuhan University, Wuhan, Hubei, China, June 7, 2018.

94. College of Mathematics and Statistics, Zhengzhou University, Zhengzhou, Henan,May 31, 2018.

95. Department of Mathematics and Statistics, University of Maryland, Baltimore,Baltimore, Maryland, March 2, 2018.

96. Division of Biostatistics, Washington University at St. Louis, St. Louis, Missouri,February, 9, 2018.

97. College of Mathematics and Statistics, Yunan University, Kunming, Yunnan, China,January 13, 2018.

98. Department of Biostatistics and Data Science, The Univeresity of Texas HealthScience Center at Houston, Houston, Texas, Novermber 13, 2017.

99. Department of Applied Economics and Statistics, University of Delaware, Newark,Delaware, September 15, 2017.

100. School of Mathematical Sciences, Dalian University of Technology, Dalian, China,June 22, 2017.

101. Biostatistics Branch, Division of Cancer Epidemiology and Genetics, NationalCancer Institute, Rockville, MD, May 10, 2017.

102. College of Mathematics and Statistics, Guangxi Normal University, Guilin, China,March 29, 2017.

103. College of Economics and Statistics, Guangzhou University, Guangzhou, China,March 27, 2017.

104. Department of Statistics and Operations Research, Polytechnic University of Cat-alonia, Barcelona, Spain, December 16, 2016.

105. Department of Statistcs, University of California at Santa Barbara, Santa Barbara,CA, October 26, 2016.

106. Program in Biostatistics and Biomathematics, Public Health Sciences Division,Fred Hutchinson Cancer Research Center, Seattle, WA, Spetember 21, 2016.

107. Department of Biostatistics, Bioinformatics & Biomathematics, Georgetown Uni-versity, Washington, DC, September 9, 2016.

108. Biostatistics and Bioinformatics Branch, Division of Intramural Population HealthResearch, Eunice Kennedy Shriver National Institute of Child Health and HumanDevelopment, NIH, Bethesda, MD, September 7, 2016.

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109. Department of Statistics, Sookmyung Womens University, Seoul, Korea, June 10,2016.

110. Department of Statistics, University of Connecticut, Storrs, Connecticut, April 27,2016.

111. School of Mathematical Sciences, Soochow Universty, Suzhou, Jiangsu, China, April11, 2016.

112. College of Mathematics and Statistics, Yunan University, Kunming, Yunnan, China,April 1, 2016.

113. College of Mathematics and Statistics, Yunan University, Kunming, Yunnan, China,April 4, 2015.

114. Research Center on Statistics, Westsouth University of Finance and Economics,Chengdu, Sichuang, China, March, 30, 2015.

115. Department of Biostatistics, St. Jude Children’s Research Hospital, Memphis,Tennessee, November 7, 2014.

116. Department of Mathematics, Statistics, and Computer Science, University of Illi-nois at Chicago, Chicago, Illinois, October 24, 2014.

117. Department of Statistics, Kansas State University, Manhattan, Kansas, September25, 2014.

118. Institute of Statistical Science Academia Sinica, Taipei, Taiwan, April 3, 2014.

119. College of Mathematics and Statistics, Hanna Normal University, Haikou, Hanna,China, April 8, 2014.

120. Department of Mathematics and Statistics, University of North Carolina at Char-lotte, Charlotte, North Carolina, November 8, 2013.

121. Department of Biostatistics, The University of Texas MD Anderson Cancer Cen-ter, Houston, Texas, September 11, 2013.

122. School of Mathematical Sciences, Capital Normal University, Beijing, P.R.China,July 6, 2012.

123. School of Mathematics and Statistics, Huazhong University, Wuhan, Hubei, P.R.China,June 12, 2012.

124. School of Mathematics and Statistics, Wuhan University, Wuhan, Hubei, P.R.China,June 7, 2012.

125. Department of Statistics, University of Illinois at Urbana-Champaign, Champaign,Illinois, April 9, 2012.

126. School of Statistics and Management, Shanghai University of Finance and Eco-nomics, Shanghai, China, March 30, 2012.

127. Department of Statistics and Actuarial Science, University of Waterloo, Waterloo,Ontario, Canada, December 15, 2011.

128. Department of Applied and Computational Mathematics and Statistics, Univer-sity of Notre Dame, Notre Dame, Indiana, November 18, 2011.

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129. Department of Information, Operations, and Management Sciences, New YorkUniversity, New York City, New York, September 23, 2011.

130. Department of Mathematics and Computer Science, Truman State University,Kirksville, Missouri, September 14, 2011.

131. Department of Mathematics, Tsinghua University, Beijing, China, Department Collo-quium, December 14, 2010.

132. Department of Statistics, Jilin University, Changchun, Jilin, China, Department Col-loquium, June, 2010.

133. Department of Biostatistics, University of California, Los Angeles, Los Angeles,California, Department Colloquium, February, 17, 2010.

134. Division of Biostatistics, Washington University in St. Louis, St. Louis, Missouri,Division Seminar Series, November, 20, 2009.

135. Department of Mathematics and Statistics, Queens’s University, Kingston, Ontario,Canada, Department Colloquium, October, 9, 2009.

136. Department of Statistics, Kansas State University, Manhattan, Kansas, DepartmentColloquium, October 30, 2008.

137. Department of Mathematical Sciences, Florida Atlantic University, Boca Raton,Florida, Department Colloquium, July 16, 2008.

138. Department of Mathematics and Statistics, University of Missouri-Kansas City,Kansas City, Missouri, Department Colloquium, April 2, 2008.

139. Department of Statistics, Jilin Normal University, Changchun, P. R. China, Depart-ment Colloquium, July 19, 2007.

140. Institute of Applied Mathematics, Chinese Academy of Sciences, Beijing, P. R.China, Institute Research Seminar Series, July 13, 2007.

141. Department of Biostatistics, University of Iowa, Department Colloquium, October, 9,2006

142. School of Health Professions, University of Missouri-Columbia, School ResearchSeminar Series, January 31, 2006.

143. Division of Biostatistics, Greenebaum Cancer Center, University of Maryland atBaltimore, Department Colloquium, October 26, 2005.

144. Department of Statistics, Jilin University, Changchun, P. R. China, Department Col-loquium, July 7, 2005.

145. Department of Statistics, Jilin Normal University, Changchun, P. R. China, Depart-ment Colloquium, July 1, 3, 2005.

146. Department of Statistics, University of Waterloo, Department Colloquium, April 25,2005.

147. Department of Statistics, University of Kentucky, Department Colloquium, January28, 2005.

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148. Department of Biostatistics, Harvard University, HIV Working Seminar, December 9,2004.

149. Biostatistics Center, Massachusetts General Hospital, Center Seminar, December 1,2004.

150. The Division of Biostatistics, Medical College of Wisconsin, Division Seminar, Febru-ary 24, 2004.

151. Department of Mathematics, The University of North Carolina at Charlotte, De-partment Colloquium, May 21, 2003.

152. Department of Biostatistics, University of Rochester, Department Colloquium, March10, 2003.

153. Department of Biostatistics, St. Jude Children’s Research Hospital, DepartmentColloquium, February 24, 2003.

154. Department of Biostatistics, University of Michigan, Department Colloquium, March5, 2002.

155. Department of Mathematics and Statistics, University of Missouri-Kansas City,Department Colloquium, February 15, 2002.

156. Division of Biostatistics, School of Public Health, University of Minnesota, DivisionSeminars, November 5, 2001.

157. Department of Statistics, University of Central Florida, Department Colloquium,October 26, 2001.

158. Department of Mathematics, Northeastern Normal University (P.R. China), De-partment Colloquium, August 8, 2001.

159. Department of Statistics, Texas A&M University, Department Colloquium, April, 5,2001.

160. Department of Biostatistics and Medical Informatics, University of Wisconsin,Department Colloquium, March 2, 2001.

161. Department of Epidemiology and Biostatistics, University of Pennsylvania Schoolof Medicine, Department Colloquium, June 1, 1999.

162. Department of Mathematics, The University of North Carolina at Charlotte, De-partment Colloquium, March 26, 1999.

163. Department of Biostatistics, University of North Carolina, Department Colloquium,March 24, 1999.

164. Department of Mathematics, University of Memphis, Department Colloquium, Febru-ary 26, 1999.

165. Department of Epidemiology and Biostatistics, University of South Florida, De-partment Colloquium, November 19, 1998.

166. Department of Statistics and Actuarial Science, University of Iowa, DepartmentColloquium, March 26, 1998.

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167. Department of Mathematics & Statistics, York University, Department Colloquium,March 6, 1998.

168. Department of Statistics & Actuarial Science, University of Waterloo, DepartmentColloquium, March 3, 1998.

169. Department of Mathematics, University of New Orleans, Department Colloquium,November 13, 1997.

170. Department of Statistics, University of Missouri-Columbia, Department Colloquium,October 21, 1997.

171. Department of Epidemiology & Biostatistics, Michigan State University, Depart-ment Colloquium, February 20, 1997.

172. Department of Statistics, University of Missouri-Columbia, Department Colloquium,February 10, 1997.

173. Department of Biostatistics, Harvard University, Interval-Censored Data WorkingGroup, May 22, 1996.

174. Department of Mathematics, University of Alberta, Department Colloquium, March8, 1996.

175. Department of Statistics, University of Georgia, Department Colloquium, February13, 1996.

176. Department of Biostatistics, Harvard University, HIV Working Group, November 16,1995.

OTHER PROFESSIONAL ACTIVITIES :

• President-Elect, President, and President-Past of International Chinese StatisticalAssociation, 2019 - 2021.

• Member of the Scientific Review Committee for the Biostatistical Methods andResearch Design Study Section of NIH, Bethesda, Maryland, February 14 - 15, 2019.

• Chair of Program Committee of International Chinese Statistical Association,2018.

• Chair of Program Committee of 2017 ICSA China Conference with the Focus onLifetime Data Science, Jilin City, Jilin, China, July 2 - 5, 2017.

• Chair of Membership Committee of International Chinese Statistical Association,2016 - 2017.

• Member of Directors of Board of International Chinese Statistical Association,2010 - 2012.

• Member of Scientific Review Committee, Clinical Research and Field Studies ofInfectious Diseases Study Section, National Institutes of Health, 2007 - 2011.

• Member of Scientific Review Committee and Data and Safety Monitoring Board,The Center for International Blood and Marrow Transplant Research, September,2006 - 2011.

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• Member of the W. J. Youden Award in Interlaboratory Testing Committee of theAmerican Statistical Association, January 1, 2006 - December 31, 2008.

• Chair of Program Committee of 2008 Winemiller Conference on Survival Analysisand Its Applications, Columbia, Missouri, October 16-18, 2008.

• Member of the E. C. Bryant Scholarship Committee of the American StatisticalAssociation, January 1, 2005 - December 31, 2010.

• President (2003, 2004) and Secretary (2001, 2002) of the Mid-Missouri Chapter of theAmerican Statistical Association.

• Editorial Responsibilities : Associate Editors, Computational Statistics and Data Anal-ysis (2016-present), Journal of the American Statistical Association, Theory and Methods(2014-present), Lifetime Data Analysis (2000-2004, 2009-present), Journal of NonparametricStatistics (2011-present); Editor, The International Journal of Biostatistics (2010-present);Editorial Board Members, Journal of Modern Applied Statistical Methods, 2002 - present;Risk Management and Healthcare Policy, 2008 - present, HIV/AIDS - Research and Pallia-tive Care, 2009 - present; Associate Editor, Biometrical Journal, 2007 - 2009; Guest-Editor,Lifetime Data Analysis (2009).

• Ph.D External Examiners : Served as the External Examiner of the Ph.D thesis of SimonDodds, School of Electrical Engineering and Computer Science, The University of Newcas-tle, 2004; the Ph.D thesis oral examination of Denise Babineau, Department of Statistics,University of Waterloo, 2005; the External Examiners of the Ph.D thesis of Nezhat Shakeri,Department of Statistics, University of Delhi, 2007; the Ph.D thesis of Neeta Makhija, Depart-ment of Statistics, University of Delhi, 2010; the Ph.D thesis of Barnali Deka, Department ofStatistics, University of Delhi, 2014; the Ph.D thesis of Juhi Mittal, Department of Statistics,University of Delhi, 2015; the Ph.D thesis of Sedigheh Mirzaei Salehabadi, Indian StatisticalInstitute, 2015.

• Members of Conference Organizing Committees: International Conference on AppliedStatistics and Financial Mathematics, December 16-18, 2010, Hong Kong; 2016 ICSA Ap-plied Statistics Symposium, June 12-15, 2016, Atlanta, GA; 2017 Conference on LifetimeData Science, May 25-27, 2017, University of Connecticut, CN; Committee Member, LilacInternational Conference of Application on Statistics, June 2 - 5, 2017, Harbin, China; 2018ICSA China Conference on Data Science, July 2- July 5, 2018, Qingdao, Shandong, China;2019 ICSA China Conference, July 1 -4, 2019, Tianjin, China; The 11th ICSA InternationalConference, December 20-22, 2019, Hangzhou, Zhejiang, China. .

• Organizers and Chairs of Conference Invited Sessions: Will organize and chair sev-eral invited sessions for the 11th ICSA International Conference, Hangzhou, Zhejiang, China,December 20-22, 2019; Will organize and chair several invited sessions for 2019 ICSA ChinaConference, Tianjin, China, July 1 -4, 2019; Organized and chaired several invited sessionsfor 2018 ICSA China Conference on Data Science, Qingdao, Shandong, China, July 2- July 5,2018; Organized and chaired an invited session (Recent Advances in Failure Time Data Anal-ysis) for ISI Regional Statistics Conference, Bali, Indonesia, March 20 - 24, 2017; Orgganizedan invited session (Recent Developments in Survival Analysis and Longitudinal Studies) forThe 2015 ICSA China Statistics Conference, Fudan University, Shanghai, China, July 6 - 7,2015; Organized and chaired an invited session (Recent Advances in the Analysis of Event His-tory Studies) for IMS-China International Conference on Statistics and Probability, Chengdu,

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China, June 30 - July 4, 2013; Organized an invited session (Recent Advances in the Analy-sis of Interval-censored Failure Time Data) for The Second IMS Asia Pacific Rim Meetings,Tokyo, Japan, July 2 - 4, 2012; Organized an invited session (Recent Advances in the Analysisof Interval-censored Failure Time Data) for The First Joint Biostatistics Symposium, Beijing,China, July 17-18, 2010; Organized an invited session (New Development in the Analysis ofMedical Data with Complex Structures) for JSM 2007, Salt Lake City, UT, July 28 - Au-gust 2; an invited session (New Development in Statistical Methods for Incomplete Data withComplex Observation Process) for IBS 2006, Montreal, Canada, July 16-21; an invited session(Recent Development on Statistical Analysis of Doubly Interval-censored Data) for JSM 2003,San Francisco, CA, August 3 - 7, 2003; an invited session (New Developments in the Analysisof Censored Data) for ICSA 2001 Applied Statistics Symposium, Chicago, IL, June 7 - 9, 2001;a special contributed session (Recent Advances in Analyzing interval-Censored Survival Data)for ENAR 2000, Chicago, IL, March, 2000. Chaired an invited session (New Developments inthe Analysis of Data with Unique Censoring Structures) for Annual ICSA Applied StatisticsSymposium, Raleigh, North Carolina, June 3 - 6; an invited session (Biostatistics) for TheJoint Meeting of the Chinese Society of Probability and Statistics (CSPS) and the Instituteof Mathematical Statistics (IMS), Beijing, China, July 9 - 12, 2005.

• Panelist : Invited by NIAID of NIH for Special Emphasis Panel on AIDS Clinical Trail GroupNetwork, Oct., 2005; Invited by the Division of HIV/AIDS Surveillance of Health Canada forthe Panel Meeting on Canadian HIV/AIDS Surveillance, Feb., 1993.

• Refereeing : Served as a referee for journals including Applied Spectroscopy, Biometrika,Biometrical Journal, Biometrics, Biostatistics, Chemometrics, Communications in Statistics:Theory and Methods, Computational Statistics and Data Analysis, European Journal of Epi-demiology, International Review of Statistics, Journal of Agricultural, Biological, and Envi-ronmental Statistics, Journal of the American Statistical Association, Journal of AmericanPublic Health Association, Journal of Multivariate Analysis, Journal of Nonparametric Statis-tics, Life Time Data Analysis, Statistics in Medicine, Statistica Sinica, The Canadian Journalof Statistics, The International Journal of Biostatistics, and Test.

• Contributors : Invited to write survey articles for the Encyclopedia of Biostatistics (1998,2005), Handbook of Statistics: Survival Analysis (2003), Encyclopedia of Quantitative RiskAssessment Agreement and Instructions (2007), Handbook of Life and Health Sciences (2009),and Handbook of Survival Analysis (2013).

• Member of the American Statistical Association, Institute of Mathematical Statistics, TheInternational Biometric Society, and International Chinese Statistical Association.

SOME SERVICE ON CAMPUS :

- Chair of Department Colloquium Committee (2018-2019)- Served on Department NTT By-Law Committee (2018-2019)- Served on Department Advisory Committee (2016 - 2019)- Served on Department Recruiting Committee (2017 - 2018)- Served on Department Admission Committee (2017 - 2018)- Served on Department Award Committee (2017 - 2018)- Director of NIH Biostatistics Training Program, 2007 - 2013- Director of Statistics Department Admission Committee (2008 - 2011)- Served on Arts and Science College Promotion and Tenure Committee (2006-2009)

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- Served on Department Advisory Committee (2002 - 2008)- Served on Arts and Science College Academic Appeals Committee (2002 - 2004)- Served on the Educational Subcommittee of the Bioinformatics Strategic Planning

Task Force (2003 )- Chair of Department Recruiting Committee (2002 - 2003, 2013 - 2014)- Chair of Organizing Committee of the Albert Winemiller Symposium on Applied

Statistics (2001 - 2002)- Chair or Co-Chair of Department Colloquium Committee (1998 - 2001)- Chair of Preliminary and Qualifying Exam Committee (1998 - 1999, 2012 - 2013)- Served on Graduate Course Committee (1999 - 2000)- Served on Preliminary and Qualifying Exam Committee (1998 - 1999)- Served on the Graduate Admissions/Financial Support Committee (1997 - 1999)- Served on the Albert Winemiller Committee (2000 - 2001)- Served as Department Recording Secretary (1997 - 1998)

ADVISING ACTIVITIES :

• Undergraduate Students

Yuchen Cai Directed her statistics honor project (May, 2017)Bo Zhang Directed her statistics honor project (December, 2015)

• Master Students

Alexandra Surgeon Directed her Master project (May, 2018)Yaoran Li Directed her Master project (October, 2015)Yingchu Zhao Directed her Master project (November, 2014)Ping Yang Directed her Master project (November, 2014)Peiwu Qin Directed his Master project (December, 2013)Nian He Directed her Master project (May, 2013)Chao Zhang Directed his Master project (November, 2012)Chathuri Daluwatte Directed her Master project (October, 2012)Qing Yu Directed her Master project (June, 2011)Kate Virkler Directed her Master project (May, 2011)Yan Guo Fulcher Directed her Master project (April, 2011)(Jay) Guojie Wang Directed his Master project (April, 2011)Linghui Li Directed his Master project (June, 2010)Jamie Netherton Directed her Master project (December, 2009)Adam Suchy Directed his Master project (July, 2009)James Ross Directed his Master project (July, 2009)Liyuan Niu Directed her Master project (December, 2008)Ren He Directed his Master project (June, 2008)(Amy) Yongxiang Yu Directed her Master project (June, 2008)Huan Liu Directed her Master project (May, 2008)Xinyan Zhang Directed her Master project (May, 2007)Margaret Bryan Directed her Master project (April, 2007)Jeremy Gorelick Directed his Master project (March, 2007)

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Qi Gong Directed his Master project (March, 2007)Xiao (Art) Peng Directed his Master project (February, 2007)Dandan Liu Directed her Master project (April, 2005)Baohong Guo Directed his Master project (April, 2005)Chao Zhu Directed his Master project (December, 2003)Jassy Molitor Directed her Master project (May, 1999)

• Doctorate Students

Ruiwen Zhou Directing her Ph.D researchDayu Sun Directing his Ph.D researchYuanyuan Guo Directing her Ph.D researchDian Yang Directing his Ph.D researchTian Tian Directing her Ph.D researchKaiyi Chen Directing her Ph.D researchXiyuan Gao Directing her Ph.D researchQiwei Wu Statistician, Eli Lilly and Company

Indianapolis, Indiana (graduated in May, 2019)Dongyan Yan Statistician, Eli Lilly and Company

Indianapolis, Indiana (joint with Dr. Guha, graduated in May, 2019)Chenchen Ma Statistician, Eli Lilly and Company

Indianapolis, Indiana (graduated in September, 2018)Han Zhang Statistician, Liberty Mutual Insurance

Boston, Massachusetts (graduated in May, 2018)Chiyu Gu Statistician, Monsanto

St. Louis, Missouri (joint with Dr. Guha, graduated in May, 2018)Guanglei Yu Statistician, Eli Lilly and Company

Indianapolis, Indiana (graduated in May, 2017)Yeqian Liu Assistant Professor, Department of Mathematics

Middle Tennessee State University (graduated in May, 2016)Angel Nickolov Research Scientist, Genentech

South San Francisco, CA (graduated in May, 2016)Tyler Cook Assistant Professor, Department of Mathematics

University of Central Oklahoma (graduated in May, 2015)Qingning Zhou Assistant Professor, Department of Mathematics and Statistics

University of North Carolina at Charlotte (graduated in May, 2015)Zhengyu Wang Statistician, BioStat Solution, Washington DC(Jerry) (joint with Dr. Chakraborty, graduated in July, 2014)Ling Ma Assistant Professor, Department of Mathematical Sciences

Clemson University, South Carolina (graduated in May, 2014)Qi Yue Data Scientist, SAS Institute

Cary, North Carolina (joint with Dr. Qiu, graduated in March, 2014)Ran Duan Statistician, Eli Lilly and Company

Indianapolis, Indiana (graduated in May, 2013)(Izzy) Na Hu Statistician, Novartis Oncology

East Hanover, New Jersey (graduated in May, 2013)Yang Li Assistant Professor, Department of Mathematics and Statistics

University of North Carolina at Charlotte (graduated in May, 2013)

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Junlong Li Postdoctoral Fellow, Department of BiostatisticsHarvard University (graduated in June, 2012)

Ni Li Associate Professor, School of Mathematics and StatisticsHainan Normal University, China (graduated in June, 2011)

Kyu Ha Lee Statistician, The Forsyth InstituteCambridge, MA (joint with Dr. Chakraborty, graduated in June, 2011)

Xinyan Zhang Manager, AbbVie (a global biopharmaceutical company)Boston (graduated in June, 2010)

Ling Chen Assistant Professor, Division of Biostatistics,Washington University in St. Louis (graduated in July, 2009)

Jeremy Gorelick Biostatistician, Edwards Lifesciences Corporatio,Irvine, California (graduated in July, 2009)

Ping Chen Senior Statistician, Aptiv Solutions, Southborough, MA(graduated in May, 2009)

Bin Zhang Assistant Professor, Department of Pediatrics,Cincinnati Children’s Hospital Medical Center (graduated in June, 2009)

Liang Zhu Associate Member, Department of Biostatistics, The University ofTexas Health Science Center at Houston (graduated in July, 2008)

Manhua Chen Associate Professor, Department of Statistics, Tamkang University,Taiwan (graduated in December, 2007)

Xin He Associate Professor, Department of Biostatistics and Epidemiology,University of Maryland at College Park (graduated in July, 2007)

Lianming Wang Associate Professor, Department of Statistics,University of South Carolina (graduated in July, 2006)

Chao Zhu Manger and Statistician, Eli Lilly and CompanyShanghai, China (graduated in July, 2006)

Do-Hwan Park Associate Professor, Department of Mathematics and Statistics,University of Maryland, Baltimore County (graduated in June, 2005)

Zhigang Zhang Associate Attending Biostatistician, Memorial Sloan-Kettering CancerCenter (graduated in July, 2004)

Qiang Zhao Associate Professor, Department of Mathematics, Texas StateUniversity, San Marcos (graduated in July, 2004)

Yang-jin Kim Associate Professor, Sookmyng Women’s University, SeoulKorea (graduated in July, 2003)

Hee-Jeong Lim Associate Professor, Department of Mathematics, California StateUniversity, Fullerton (graduated in July, 2001)

• Postdoctoral Fellows or Visiting Scholars

Ms. Mengzhu Yu Visiting Student, School of Mathematics,Jilin University, Changchun, China (August, 2019 - present)

Ms. Mingyue Du Visiting Student, School of Mathematics,Jilin University, Changchun, China (August, 2018 - November, 2019)

Ms. Fengting Yi Visiting Student, School of Mathematics & StatisticsYunnan University, Kunming, China (April, 2018 - November, 2019)

Dr. Cong Li Assistant Professor, School of Mathematics,Jilin University, Changchun, China (August, 2018 - September, 2019)

Ms. Jie Zhang Visiting Student, School of Mathematics,

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Jilin University, Changchun, China (August, 2018 - August, 2019)Dr. Huiqiong Li Professor, School of Mathematics & Statistics

Yunnan University, Kunming, China (November, 2016 - August, 2018)Dr. Shengqi Tian Statistician, Boehringer-Ingelheim,

Shanghai, China (August, 2017 to August, 2018)Dr. Hui Zhao Professor, School of Mathematics and Statistics,

Central China Normal University, Wuhan, China(September, 2016 to August, 2017)

Dr. Qi Cui Research Fellow, Department of Statistics and Actuarial Science,Simon Fraser University, Burnaby, Canada (August, 2016 to August, 2017)

Dr. Shuwei Li Assistant Professor, School of Mathematics and Statistics,Guangzhou University, Guangzhou, China (August, 2015 to February, 2017)

Dr. Dandan Jiang Associate Professor, School of Mathematics,Xi An Jiao Tong University, Xi An, China (August, 2015 to August, 2016)

Dr. Peijie Wang Assistant Professor, School of Mathematics,Jilin University, Changchun, China (August, 2014 to August, 2015)

Dr. Da Xu Assistant Professor, School of Statistics and Mathematics,Northeast Normal University, Changchun, China (August, 2014 to August, 2015)

Dr. Yang-jin Kim Associate Professor, Department of Statistics,Sookmyng Women’s University, Seoul, Korea(July, 2014 to December, 2014)

Dr. Al-Mosawi Associate Professor, Department of MathematicsUniversity of Thi-Qar, Iraq (October, 2013 to December, 2013)

Dr. Shishun Zhao Professor, School of Mathematics,Jilin University, Changchun, China (April, 2013 to April, 2014)

Dr. Tao Hu Professor, School of Mathematical Sciences, CapitalNormal University, Beijing, China (January, 2013 to December, 2013)

Dr. Xuerong Chen Associate Professor, Southwestern University of Financeand Economics, Chengdo, China (September, 2012 to August, 2013)

Dr. Yanqin Feng Associate Professor, Department of Statistics,Wuhan University, Wuhan, China(September, 2011 to September, 2012)

Dr. Haixiang Zhang Associate Professor, Institute of Mathematics, Tianjun University,Tianjun, China (September, 2011 to September, 2012)

Dr. Hui Zhao Professor, School of Mathematics and Statistics,Central China Normal University, Wuhan, China(January, 2011 to January, 2012)

Dr. Chunjie Wang Professor, College of Mathematics and Statistics,Changchun University of Technology, Changchun, China(January, 2011 to January, 2012)

Dr. Junshan Shen Associate Professor, Department of Statistics,Beijing University, Beijing, China (January, 2007 to February, 2008)

Dr. Wei Gao Professor, School of Statistics and Mathematics,Northeast Normal University, Changchun, China(November, 2006 to January, 2007)

Dr. Xingwei Tong Professor, Department of Statistics,Beijing Normal University, Beijing, China

35

(January, 2005 to October, 2006)Dr. Liuquan Sun Full Member, Institute of Applied Mathematics, Chinese Academy

of Sciences, Beijing, China (September, 2002 to August, 2004)Dr. Xingqiu Zhao Associate Professor, Department of Applied Mathematics,

The Hong Kong Polytechnic University, Hong Kong(May, 2001 to July, 2002)

Dr. Hongbin Fang Associate Professor, Department of Biostatistics,Bioinformatics and Biomathematics, Georgetown University(January, 1999 to December, 2000)

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