CURRICULUM VITAE January 12th, 2017

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Ying Huang, Ph.D.

Fred Hutchinson Cancer Research Center

M2-C200, 1100 Fairview Ave N., Seattle, WA 98109

Tel: (206) 667-4198, Fax: (206) 667-4378, Email: yhuang@fhcrc.org

Education

1996 Fudan University, Shanghai, P.R. China, B.S., Biochemistry

1999 Iowa State University, Ames, IA, M.S., Statistics

2000 Iowa State University, Ames, IA , M.S., Molecular, Cellular, and Developmental Biology

2007 University of Washington, Seattle, WA, Ph.D., Biostatistics

Honors and Awards

1993 Fudan University Merit Award

1994 Fudan University Merit Award

1995 Fudan University Merit Award, top performance in classwork

1996 Outstanding Graduate, Fudan University

1997-2000 Premium for Academic Excellence Award Graduate College, Iowa State University

1999 Sigma Xi

1999 Vera David Graduate Fellowship in Statistics, Iowa State University, awarded top

female students for the second year of study

2000 Phi Kappa Phi

2007 Student Travel Award, Health Science Policy Section, Joint Statistical Meetings

2011-2014 Cancer Center Support Grant Recruitment Award

2014 W. J. Youden Award in Interlaboratory Testing, American Statistical Association

Society Membership

2010 - present American Statistical Association

2010 - present Institute of Mathematical Statistics

2011 - present Eastern North American Region/International Biometric Society

2011 - present International Chinese Statistical Association

2012 - present International Biometric Society

Academic Positions

08/1999 – 08/2000 Research Assistant, Department of Statistics, Iowa State University

10/2001 – 08/2007 Research Assistant, Department of Biostatistics, University of Washington

08/2007 – 08/2009 Postdoc Research Fellow, Biostatistics and Biomath, Fred Hutchinson Cancer Research

Center

09/2009 – 07/2010 Assistant Professor (tenure track), Biostatistics, Department of Biostatistics, Columbia

University

07/2010 – 12/2013 Assistant Member, Population Sciences Program, Vaccine and Infectious Disease

Division, and Biostatistics and Biomathematics Program, Public Health Sciences

Division, Fred Hutchinson Cancer Research Center

04/2011 - present Member, Fred Hutchinson/University of Washington Cancer Consortium

04/2012 – 06/2014 Affiliate Assistant Professor, University of Washington, Department of Biostatistics

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01/2014 – present Associate Member, Population Sciences Program, Vaccine and Infectious Disease

Division, and Biostatistics and Biomathematics Program, Public Health Sciences

Division, Fred Hutchinson Cancer Research Center

07/2014 – present Affiliate Associate Professor, University of Washington, Department of Biostatistics

Editorial Service

2016 June Grant Reviewer for NIH Cancer Biomarkers (CBSS) Study Section

2016- present Editorial Board Member, Epidemiology and Prevention Section, Cancer Research

2015 - present Associate Editor, Biometrics

2013 - 2014 Editorial Board Member:Clinical Research in HIV/AIDS

2010 - 2016 Editorial Board Member: Journal of Biometrics and Biostatistics

2012 Reviewer of grant proposal for Stratified Medicine, Medical Research Council

2007 - present Referee for JASA (3), Biometrika (4), Biometrics (20), Biostatistics (6), Statistics in

Medicine (11), Journal of Royal Statistical Society (3), Statistical Sinica (1), Statistics in

Bioscience (4), International Journal of Biostatistics (1), Journal of Statistical Planning

and Inference (2), Statistical Modeling (1), Biometrical Journal (3), Journal of

Multivariate Analysis (1), Cancer Research (2), Epidemiology (1), Bioinformatics and

Biology Insights (1), American Journal of Epidemiology (5), Genetic Epidemiology (2),

Journal of Clinical Epidemiology (1), Pharmaceuticals (1), Journal of Statistical

Software (1) , Journal of the Academy of Nutrition and Dietetics (1), Methodology -

European Journal of Research Methods in Behavioral and Social Sciences (1) (23

Journals 76 reviews)

Professional Service

Master Student Admission Committee, Columbia University, Department of Biostatistics, 2009

Grader for 2009 PhD Theory Exam, Department of Biostatistics, Columbia University

Chair, “Spatial Epidemiology and Disease Mapping”, Joint Statistical Meeting, Vancouver, BC,

2010

Organizer, “Statistical methods for evaluating surrogate biomarkers” (invited session),

International Chinese Statistical Association applied statistical symposium, Boston,

Massachusetts, 2012

Organizer for VIDD Immune Correlates Affinity Group, Fred Hutchinson, 2013

Member, University of Washington Department of Biostatistics Student Admissions Committee

2013-2014

Member, University of Washington Department of Biostatistics Student Admissions Committee

2014-2015

Grader for 2013 PhD Applied Exam, Department of Biostatistics, University of Washington

Member, Women’s Health Inititiative (WHI) Publications & Presentations (P & P) Committee,

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2013 – present

Chair, “Risk Prediction Modeling in Clinical Trials”, Joint 24th ICSA Applied Statistics Symposium

and 13th Graybill Conference, Fort Collins, Coloroda, 2015

Committee for the W. J. Youden Award in Interlaboratory Testing. American Statistical

Association. 1/1/2016 – 12/31/2018.

Grader for 2015 PhD Applied Exam, Department of Biostatistics, University of Washington

VIDD Search Committee for Biostatistican Faculty Position, 2016

Teaching Experience

January 2000 – May 2000 Teaching Assistant, Multivariate Statistical Methods STAT501, Department

of Statistics, Iowa State University

March 2004 – June 2004 Teaching Assistant, Correlated Data Analysis BIOST540, Department of

Biostatistics, University of Washington

January 2010 – June 2010 Instructor, Theory of Multivariate Analysis BIOST-P8129, Department of

Biostatistics, Columbia University

May 2011 Guest Lecture, Statistical methods for the evaluation of biomarkers and

medical tests BIOST-B578, Department of Biostatistics, University of

Washington

July 2012 Co-Instructor, Module 10: Evaluating Immune Correlates of Protection and

Vaccine Effects on Pathogen Sequences, Summer Institute in Statistics and

Modeling of Infectious Diseases, Department of Biostatistics, University of

Washington

July 2013 Co-Instructor, Module 8: Evaluating Immune Correlates of Protection,

Summer Institute in Statistics and Modeling of Infectious Diseases,

Department of Biostatistics, University of Washington

July 2014 Co-Instructor, Module 8: Evaluating Immune Correlates of Protection,

Summer Institute in Statistics and Modeling of Infectious Diseases,

Department of Biostatistics, University of Washington

Advising and Formal Mentoring

Postdocs

07/2016-current Juhee Cho

06/2016-current Lu Wang

05/2016-current Bin Yao

09/2014-10/2016 Sayan Dasgupta (co-mentor with YingQing Chen)

09/2013-08/2014 Shibasish Dasgupta

06/2013-08/2015 Soyoung Kim

09/2011-08/2014 Chaeryon Kang (co-mentor with Holly Janes)

06/2011-02/2013 Shuxin Yin (co-mentor with Youyi Fong)

Reading

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06/2013-08/2013 Jing Fan, University of Washington, Dept. of Biostatistics (supervising reading

course, jointly with Dr. Margaret S. Pepe)

RA

06/2015-09/2016 Arash Tarkhan, University of Washington, Dept. of Biostatistics

12/2016-current Andrew Spieker, University of Washington, Dept. of Biostatistics

Ph.D. Candidates

01/2015-current Yingying Zhuang, University of Washington, Dept. of Biostatistics (Co-chair)

07/2010-08/2012 Erin E.Gabriel, University of Washington, Dept. of Biostatistics (reading committee)

03/2012-05/2014 Cheng Zheng, University of Washington, Dept. of Biostatistics (reading committee)

10/2014-12/2016 Wenying Zheng, University of Washington, Dept. of Biostatistics (reading

committee)

M.S. Candidates

04/2016-11/2016 Kehao Zhu, University of Washington, Dept. of Biostatistics (Co-chair)

07/2011-08/2012 William Cumberland, University of Washington, Dept. of Biostatistics (reading

committee)

Publications

Refereed Research Articles

- A * indicates correspondence author or senior author

- Current and former students and postdocs are indicated by an underline

1. Woods, J.S., Martin, M.D., Leroux, B.G., DeRouen, T.A., Leitao, J.G., Bernardo, M.F., Luis, H.S.,

Simmonds, P.L., Kushleika, J.V., and Huang, Y. (2007) The contribution of dental amalgam to urinary

mercury excretion in children. Environmental Health Perspectives, 115(10): 1527-1531. PMCID:

PMC2022658.

2. Huang, Y., Pepe, M.S., and Feng, Z. (2007) Evaluating the predictiveness of a continuous marker.

Biometrics, 63(4): 1181-1188. PMCID: PMC3059154.

3. Huang, Y., Schoonmaker, J.P., Bradford, B.J., and Beitz, D.C. (2008) Response of milk fatty acid

composition to dietary supplementation of soy oil, conjugated linoleic acid, or both. Journal of Dairy

Science, 91(1):260-70.

4. Pepe, M.S., Zheng, Y., Jin, Y., Huang, Y., Parikh, C.R., and Levy, W.C. (2008) Evaluating the ROC

performance of markers for future events. Lifetime Data Analysis, 14(1): 86-113. PMCID:

PMC29399738.

5. Pepe, M.S., Feng, Z., Huang, Y., Longton, G.M., Prentice, R.L., Thompson, I.M., and Zheng, Y. (2008)

Integrating the predictiveness of a marker with its performance as a classifier. American Journal of

Epidemiology, 167(3): 362-368. PMCID: PMC2939738.

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6. Puschel, K., Thompson, B., Coronado, G., Huang, Y., Gonzalez, L., and Rivera, S. (2008) Effectiveness

of a brief intervention based on the ‘5A’ model for smoking cessation at the primary care level in

Santiago, Chile. Health Promotion International, 23(3): 240-250. PMCID: PMC2724879.

7. Huang, Y., Schoonmaker, J.P., Oren, S.L., and Trenkle, A., and Beitz, D. C. (2009) Calcium salts of CLA

improve availability of dietary CLA. Livestock Science, 122:1-7.

8. Huang, Y.* and Pepe, M.S. (2009) Biomarker evaluation and comparison using the controls as a

reference population. Biostatistics, 10(2): 228-244. PMCID: PMC2648906.

9. Huang, Y.* and Pepe, M.S. (2009) A parametric ROC model based approach for evaluating the

predictiveness of continuous markers in case-control studies. Biometrics, 65(4): 1133-1144. PMCID:

PMC2794984.

10. Huang, Y.* and Pepe, M.S. (2009) Semiparametric methods for evaluating risk prediction markers in

case-control studies. Biometrika, 96(4): 991-997. PMCID: PMC3372083.

11. Prentice, R.L., Huang, Y., Tinker, L.F., Beresford, S.A.A., Lampe, J.W., and Neuhouser, M.L. (2009)

Statistical aspects of the use of biomarkers in nutritional epidemiology research. Statistics in

Biosciences, 1:112-123 . PMCID: PMC2762210.

12. Prentice, R.L., Huang, Y., Hinds, D.A., Peter, U., Cox, D.R., Beilarz, E., Chlebowski, R.T., Rossouw, J. E.,

Caan, B., and Ballinger, D.G. (2009) Variation in the FGFR2 gene and the effects of postmenopausal

hormone therapy on invasive breast cancer. Cancer Epidemiology, Biomarker & Prevention, 18(11):

3079-3085. PMCID: PMC2783392.

13. Prentice, R.L., Huang, Y., Hinds, D.A., Peter, U., Cox, D.R., Beilarz, E., Chlebowski, R.T., Rossouw, J.E.,

Caan, B., and Ballinger, D.G. (2010) Variation in the FGFR2 gene and the effect of a low-fat dietary

pattern on invasive breast cancer. Cancer Epidemiology, Biomarker & Prevention, 19(1): 74-79.

PMCID: PMC2806599.

14. Huang, Y.* and Pepe, M.S. (2010) Semiparametric methods for evaluating the covariate-specific

predictiveness of continuous markers in matched case-control studies. Journal of the Royal

Statistical Society C, 59(3): 437-456. PMCID: PMC3090216.

15. Huang, Y.* and Pepe, M.S. (2010) Assessing risk prediction models in case-control studies using

semiparametric and nonparametric methods. Statistics in Medicine, 29(13): 1391-1410. PMCID:

PMC3045657.

16. Beasley, J., LaCroix, A, Neuhouser, M., Prentice, R.L., Huang, Y., Tinker, L., Michael, Y., Woods, N.,

and Curb, J. A. (2010) Association between protein intake and incident frailty in the women’s health

initiative observational study. Journal of the American Geriatrics, 58(6): 1063-1071. PMCID:

PMC2924946.

17. Huang, Y., Hinds, D.A., Qi, L., and Prentice, R.L. (2010) Pooled versus individual genotyping in a

breast cancer genome-wide association study. Genetic Epidemiology, 34(6): 603-612. PMCID:

PMC3045656.

18. Huang, Y., Isharwal, S., Haese, A., Chun, F.K., Makarov, D.V., Feng, Z., Han, M., Humphreys, E. ,

Epstein, J.I., Partin, A.W., Veltri, R.W. (2011) Prediction of patient-specific risk and percentile cohort

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risk of pathological stage outcome using continuous PSA measurement, clinical stage and biopsy

gleason score. British Journal of Urology International, 107(10): 1562-1569. PMCID: PMC3082635.

19. Prentice, R.L., Huang, Y., Kuller, L.H., Tinker, L.F., Horn, L.V., Stefanick, M.L., Sarto, G., Ockene, J.,

and Johnson, K. (2011) Biomarker-calibrated energy and protein consumption and cardiovascular

disease risk among postmenopausal women. Epidemiology, 22(2): 170-179. PMCID: PMC3033986.

20. Huang, Y.*, and Leroux, B. (2011) Informative cluster sizes and weighted generalized estimating

equations. Biometrics, 67(3): 843-851. PMCID:PMC3137732.

21. Huang, Y.*, Fong, Y., Wei, J., and Feng, Z. (2011) Borrowing information across populations in

evaluating PPV and NPV. Journal of the Royal Statistical Society C, 60(5): 633-653. PMCID: PMC

3196635.

22. Huang, Y.*, and Gilbert, P.B. (2011) Comparing biomarkers as principal surrogate endpoints.

Biometrics; 67(4): 1442-1451. PMCID: PMC 3163011.

23. Prentice, R.L., Mossavar-Rahmani, Y., Huang, Y., Van Horn, L., Beresford, S.A.A., Caan, B., Tinker, L.,

Schoeller, D., Bingham, S., Eaton, C.B., Thomson, C., Johnson, K.C., Ockene, J., Sarto, G., Heiss, G.,

Neuhouser, M.L. (2011) Evaluation and comparison of food records, recalls and frequencies for

energy and protein assessment using recovery biomarkers. American Journal of Epidemiology,

174(5): 591-603. PMCID: PMC3202154.

24. Pollara, J., Hart, L., Brewer, F., Pickeral, J., Packard, B., Hoxie, J., Komoriya, A., Ochsenbauer, C.,

Kappes, J., Roederer, M., Huang, Y., Weinhold, K., Tomaras, G., Haynes, B., Montefiori, D., and

Ferrari, G. (2011) High throughput quantitative analysis of HIV-1 and SIV-specific ADCC-mediating

antibody responses. Cytometry, 79A(8): 603-612. PMCID: PMC3692008.

25. Prentice, R.L., and Huang, Y. (2011) Measurement error modeling and nutritional epidemiology

association analyses. Canadian Journal of Statistics, 39(3): 498-509. PMCID: PMC3630080.

26. Gilbert PB, Grove D, Gabriel E, Huang Y, Gray G, Hammer SM, Buchbinder SP, Kublin J, Corey L, Self

SG. (2011) A Sequential Phase 2b Trial Design for Evaluating Vaccine Efficacy and Immune Correlates

for Multiple HIV Vaccine Regimens. Statistical Communications in Infectious Diseases; 3. PMCID:

2997740.

27. Huang Y, Ballinger DG, Dai JY, Peters U, Hinds DA, Cox DR, Beilharz E, Chlebowski RT, Rossouw JE,

McTiernan A, Rohan T, Prentice RL. (2011) Genetic variants in the MRPS30 region and

postmenopausal breast cancer risk. Genome Med; 3(6):42. PMCID: PMC3218816.

28. Tinker LF, Sarto GE, Howard BV, Huang Y, Neuhouser ML, Mossavar-Rahmani Y, Beasley JM,

Margolis KL, Eaton CB, Phillips LS, Prentice RL. (2011) Biomarker-calibrated dietary energy and

protein intake associations with diabetes risk among postmenopausal women from the Women's

Health Initiative. Am J Clin Nutr. 2011;94(6):1600-6. PMCID: PMC3252553.

29. Dai JY, Logsdon BA, Huang Y, Hsu L, Reiner AP, Prentice RL, Kooperberg C. (2012) Simultaneously

testing for marginal genetic association and gene-environment interaction. Am J Epidemiol;

176(2):164-73. PMCID: PMC3499112.

30. Genesca M, Ma ZM, Wang Y, Assaf B, Qureshi H, Fritts L, Huang Y, McChesney MB, Miller CJ. (2012)

Live-Attenuated Lentivirus Immunization Modulates Innate Immunity and Inflammation while

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Protecting Rhesus Macaques from Vaginal Simian Immunodeficiency Virus Challenge. J Virol;

86(17):9188-200. PMCID: PMC3416105.

31. Huang Y, Ballinger DG, Stokowski R, Beilharz E, Robinson JG, Liu S, Robinson R, Henderson VW,

Rossouw JE, Prentice RL. (2012) Exploring the interaction between SNP genotype and

postmenopausal hormone therapy effects on stroke risk. Genome Med; 4(7):57. PMCID:

PMC3580413.

32. Huang Y*, Gilbert PB, Janes H. (2012) Assessing Treatment-Selection Markers using a Potential

Outcomes Framework. Biometrics; 68(3):687-96. PMCID: PMC3417090.

33. Huang Y, Huang Y, Moodie Z, Li S, Self S. (2012) Comparing and combining data across multiple

sources via integration of paired-sample data to correct for measurement error. Stat Med; 31(28):

3748-3759. Winner of 2014 Youden Award.

34. Huang Y, Wang P. (2012) Network Based Prediction Model for Genomics Data Analysis. Statistics in

Biosciences; 4(1):47-65. PMCID: PMC3859188.

35. Montefiori DC, Karnasuta C, Huang Y, Ahmed H, Gilbert P, de Souza MS, McLinden R, Tovanabutra S,

Laurence-Chenine A, Sanders-Buell E, Moody MA, Bonsignori M, Ochsenbauer C, Kappes J, Tang H,

Greene K, Gao H, Labranche CC, Andrews C, Polonis VR, Rerks-Ngarm S, Pitisuttithum P, Nitayaphan

S, Kaewkungwal J, Self SG, Berman PW, Francis D, Sinangil F, Lee C, Tartaglia J, Robb ML, Haynes BF,

Michael NL, Kim JH. (2012) Magnitude and Breadth of the Neutralizing Antibody Response in the

RV144 and Vax003 HIV-1 Vaccine Efficacy Trials. J Infect Dis; 206(3):431-41. PMCID: PMC3392187.

36. Qureshi H, Ma ZM, Huang Y, Hodge G, Thomas MA, Dipasquale J, Desilva V, Fritts L, Bett AJ, Casimiro

DR, Shiver JW, Robert-Guroff M, Robertson MN, McChesney MB, Gilbert PB, Miller CJ. (2012) Low-

Dose Penile SIVmac251 Exposure of Rhesus Macaques Infected with Adenovirus Type 5 (Ad5) and

Then Immunized with a Replication-Defective Ad5-Based SIV gag/pol/nef Vaccine Recapitulates the

Results of the Phase IIb Step Trial of a Similar HIV-1 Vaccine. J Virol; 86(4):2239-50. PMCID:

PMC3302390.

37. Montefiori DC, Karnasuta C, Huang Y, Ahmed H, Gilbert P, de Souza MS, McLinden R, Tovanabutra S,

Laurence-Chenine A, Sanders-Buell E, Moody MA, Bonsignori M, Ochsenbauer C, Kappes J, Tang H,

Greene K, Gao H, Labranche CC, Andrews C, Polonis VR, Rerks-Ngarm S, Pitisuttithum P, Nitayaphan

S, Kaewkungwal J, Self SG, Berman PW, Francis D, Sinangil F, Lee C, Tartaglia J, Robb ML, Haynes BF,

Michael NL, Kim JH. (2012) Magnitude and Breadth of the Neutralizing Antibody Response in the

RV144 and Vax003 HIV-1 Vaccine Efficacy Trials. J Infect Dis; 206(3):431-41. PMCID: PMC3392187.

38. Qureshi H, Ma ZM, Huang Y, Hodge G, Thomas MA, Dipasquale J, Desilva V, Fritts L, Bett AJ, Casimiro

DR, Shiver JW, Robert-Guroff M, Robertson MN, McChesney MB, Gilbert PB, Miller CJ. (2012) Low-

Dose Penile SIVmac251 Exposure of Rhesus Macaques Infected with Adenovirus Type 5 (Ad5) and

Then Immunized with a Replication-Defective Ad5-Based SIV gag/pol/nef Vaccine Recapitulates the

Results of the Phase IIb Step Trial of a Similar HIV-1 Vaccine. J Virol; 86(4):2239-50. PMCID:

PMC3302390.

39. Sullivan Pepe M, Fan J, Seymour CW, Li C, Huang Y, Feng Z. (2012) Biases Introduced by Choosing

Controls to Match Risk Factors of Cases in Biomarker Research. Clinical Chemistry; 58(8):1242-51.

PMCID: PMC3464972.

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40. Zhang Z, Huang Y. (2012) A Linear Regression Framework for the Receiver Operating Characteristic

(ROC) Curve Analysis. Journal of Biometrics & Biostatistics; 3(2):137. PMCID: PMC3836285.

41. Bonsignori M, Pollara J, Moody MA, Alpert MD, Chen X, Hwang K-K, Gilbert PB, Huang Y, Gurley TC,

Kozink DM, Marshall DJ, Whitesides JF, Tsao C-Y, Kaewkungwal J, Nitayaphan S, Pitisuttithum P,

Rerks-Ngarm S, Kim JH, Michael NL, Tomaras GD, Montefiori DC, Lewis GK, DeVico A, Evans DT,

Ferrari G, Liao H-X, Haynes BF. (2012) ADCC-Mediating Antibodies from an HIV-1 Vaccine Efficacy

Trial Target Multiple Epitopes and Preferentially Use the VH1 Gene Family. Journal of Virology;

86(21): 11521-32. PMCID: PMC3486290.

42. Duerr A, Huang Y, Buchbinder S, Coombs RW, Sanchez J, Del Rio C, Casapia M, Santiago S, Huang Y,

Gilbert P, Corey L, Robertson MN. (2013) Reply to Richie and Villasante. J Infect Dis; 207(4): 690-692.

43. Feng, Z, Kagan, J, Pepe, MS, Wagner, P, Thornquist, M, Rinaudo, JA, Krueger, K, Zheng, Y, Patriotis, C,

Huang, Y, Thompson, I, and Srivastava, S (2013) EDRN specimen reference sets: paving the way for

rapid evaluation of potential biomarkers. Journal of Clinical Chemistry, 59(1): 68-74. PMCID:

PMC3652317.

44. Huang, Y*, Gilbert, PB, Wolfson, J. (2013) Design and estimation for evaluating principal surrogate

markers in vaccine trials. Biometrics, 69(2):301-9. PMCID: PMC3713795.

45. Huang, Y*, Pepe, MS, and Feng, Z (2013) Logistic regression analysis with standardized markers.

Annals of Applied Statistics, 7(3): 1640-1662. PMCID: PMC3817965.

46. Mossavar-Rahmani Y, Tinker LF, Huang, Y, Neuhouser, ML, McCann, SE, Seguin, RA, Vitolins, MZ,

Curb, JD, Prentice, RL (2013) Psychosocial & diet behavior factors in dietary assessment: biomarkers

and self-report in the Women’s Health Initiative Observational Study. Nutrition Journal, 12(63).

PMCID: PMC3658913.

47. Prentice, R. L., Tinker, L. F., Huang, Y. , and Neuhouser, M. L. (2013) Calibration of self-reported

dietary measures using biomarkers: an approach to enhancing nutritional epidemiology reliability.

Current Atherosclerosis Reports, 15:353. PMCID: PMC3832356.

48. Prentice, RL, Pettinger, M, Tinker, LF, Huang, Y, Thomson, C, Johnson, K, Beasley, J, Anderson, G,

Manson, J, Shikany JM, Chlebowski, RT, and Neuhouser, ML (2013) Regression calibration in

nutritional epidemiology: example of fat density and total energy in relationship to

postmenopausal breast cancer. American Journal of Epidemiology, 178(11): 1663-72. PMCID:

PMC3842904.

49. Prentice, R. L., Neuhouser, M. L., Tinker, L. F., Pettinger, M., Thomson, C. A., Mossavar-Rahmani, Y.

M., Thomas, F., Qi, L., Huang, Y. (2013) An exploratory study of respiratory quotient calibration

and association with postmenopausal breast cancer. Cancer Epidemiology, Biomarker & Prevention,

22(12): 2374-83. PMCID: PMC3864792.

50. Janes, H., Pepe, M.S., and Huang, Y. (2014) A framework for evaluating markers used to select

patient treatment. Medical Decision Making, 34(2):159-67. PMCID: PMC3818438.

51. Huang, Y., Van Horn, L., Tinker, L. F., Neuhouser, M. L., Carbone, L., Mossavar-Rahmani, Y., Thomas, F., and Prentice, R. L. (2014) Measurement error corrected sodium and potassium intake estimation using 24-hour urinary excretion. Hypertension, 63(2):238-44. PMCID: PMC4070598.

52. Beasley, J. M., LaCroix, A. Z., Larson, J., Huang, Y., Neuhouser, M. L., Tinker, L. F., Jackson, R.,

Snetselaar, L., Johnson, K., Eaton, C., Prentice, R. L. (2014) Biomarker-calibrated protein intake and

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bone health in the Women’s Health Initiative clinical trial and observational study. American

Journal of Clinical Nutrition, 99(4):934-40. PMCID: PMC3953886.

53. Janes, H., Brown, M.D., Huang, Y., Pepe, M.S. (2014) An approach to evaluating and comparing

biomarkers for patient treatment selection. International Journal of Biostatistics, 10(1): 99-121.

PMCID: PMC4341986.

54. Kang, C., Janes, H., and Huang, Y. (2014) Combining biomarkers to optimize patient treatment recommendations. Biometrics, 70(3): 695-707. PMCID: PMC4248022.

55. Nolen, B. M., Brand, R. E., Prosser, D., Velikokhatnaya, L., Allen, P. J., Zeh, H. J., Grizzle, W. E., Huang, Y. , Lomakin, A., and Lokshin, A. E. (2014) Prediagnostic serum biomarkers as early detection tools for pancreatic cancer in a large prospective cohort study. PLoS One, 9(4):e94928. PMCID: PMC3991628.

56. Kang, C., Janes, H., and Huang, Y. (2014) Rejoinder: Combining biomarkeers to optimize patient treatment recommendations. Biometrics, 70(3): 719-720. PMCID: PMC4247994.

57. Huang, Y*. and Fong, Y. (2014) Identifying optimal biomarker combinations for treatment selection

via a robust kernel method. Biometrics, 70(4): 891-901. PMCID:PMC4277554.

58. Gray, G.E., Andersen-Nissen, E., Grunenberg, N., Huang, Y., Roux, S., Laher, F., Innes, C., Gu, N.,

DiazGranados, C., Phogat, S., Lee, C., Swann, E., Kim, J., O’Connell, R., Michael, N., Flach, B., DeRosa,

S., Frahm, N., Morris, L., Montefiori, D., Gilbert, P., Tomaras, G., McElrath, J., Corey, L. (2014) HVTN

097: Evaluation of the RV144 vaccine regimen in HIV uninfected South Africa adults. AIDS Research

and Human Retroviruses, 30, Suppl 1: A33-4.

59. Huang, Y.*, and Laber, E. (2014) Personalized evaluation of biomarker value: a cost-benefit

perspective. Statistics in Biosciences, 8: 43-65. PMCID:PMC4938856.

60. Huang, Y.*, Laber, E., Janes, H. (2015) Characterizing expected benefits of biomarkers in treatment

selection. Biostatistics, 16(2): 383-99. PubMed Journal – In Process. PMID: 25190512.

61. Kang, C., Huang, Y.*, and Miller, C. (2015) A discrete time-survival model with random effects for

designing and analyzing repeated low-dose challenge experiments. Biostatistics, 16(2):295-310.

PMCID: PMC4786638.

62. Tang, H., Singh, S., Partyka, K., Kletter, D., Hsueh, P., Yadav, J., Ensink, E., Bern, M., Hostetter, G.,

Hartman, D., Huang, Y., Brand, R., Haab, B. (2015) Glycan motif profiling reveals plasma sialyl-Lewis

X elevations in pancreatic cancers that are negative for Sialyl-Lewis A. Molecular and Cellular

Proteomics, 14(5):1323-33. PMCID: PMC4424402.

63. Gilbert, P.B., Gabriel, E.E., Huang, Y., and Chan, I.S.F. (2015) Surrogate endpoint evaluation:

principal surrogate criteria and the Prentice definition. Journal of Causal Inference, 3(2): 157-175.

PMDID: PMC4692254.

64. Huang, Y. *(2015) Identifying optimal biomarker combinations for treatment selection through

randomized controlled trials. Clinical Trials, 12(4): 348-356.

65. Yunda Huang, Dean Follmann, Martha Nason, Lily Zhang, Ying Huang, Devan V. Mehrotra, Zoe

Moodie, Barbara Metch, Holly Janes, Michael C. Keefer, Gavin Churchyard, Merlin L. Robb, Patricia

E. Fast, Ann Duerr, M. Juliana McElrath, Lawrence Corey, John R. Mascola, Barney S. Graham,

Magdalena E. Sobieszczyk, James G. Kublin, Michael Robertson, Scott M. Hammer, Glenda Gray,

Susan P. Buchbinder, Peter B. Gilbert. (2015) Effect of rAd5-vector HIV-1 preventive vaccines on

HIV-1 acquisition: a peerticipant-level meta-analysis of randomized trials. PLOS ONE, 10(9),

e0136626. PMCID: PMC4558095.

P a g e | 10

66. Haab, B.B., Huang, Y., Balasenthil, S., Partyka, K., Tang, H., Anderson, M., Allen, P., Sasson, A., Zeh,

H., Kaul, K., Kletter, D., Ge, S., Bern, M., Srivastava, S., Fraizer, M.L., Sen, S., Hollingsworth, M.A.,

Jarnagin, W., Kwon, R., Rinaudo, J.A., Killary, A.M., and Brand, R.E. (2015) Definitive

characterization of CA 19-9 in resectable pancreatic cancer using a reference set of serum and

plasma specimens. PLOS ONE, 10(10): e0139049.

67. Honda, K., Kobayashi, M., Okusaka, T., Rinaudo, J. , Huang, Y., Marsh, T., Sanada, M., Sasajima, Y.,

Nakamori, S., Shimahara, M., Ueno, T., Tsuchida, A., Sata, N., Loka, T., Yasunami, Y., Kosuge, T.,

Miura, N., Kamita, M., Sakamoto, T., Shouji, H., Jung, G., Srivastava, S., Yamada, T. (2015) Plasma

biomarker for detection of early stage pancreatic cancer and risk factors for pancreatic malignancy

using antibodies for apolipoprotein-All isoforms. Scientific Reports, In Press.

68. Helen Storey, Ying Huang, Chris Crudder, Allison Golden, Tala de los Santos, and Kenneth Hawkins. (2015) A Meta-analysis of typhoid diagnostic accuracy studies: a recommendation to adopt a standardized composite reference. PLoS ONE, 10(11): e0142364.

69. Tang, H., Partyka, K., Hsueh, P., Sinha, J. Y., Kletter, D., Zeh, H., Huang, Y., Brand, R.E., and Haab, B.B. (2015) Glycans related to the CA19-9 antigen are increased in distinct subsets of pancreatic cancers and improve diagnostic accuracy over CA19-9. Cellular and Molecular Gastroenterology and Hepatology, 2(2): 210-221.

70. Huang, Y.* (2016) Evaluating and comparing diagnostic markers with respect to the area under the receiver operating characteristic curve in two-phase case-control studies. Biostatistics, 17(3): 499-522. PMCID: PMC4915610

71. Ying Huang*, Carlos DiazGrandos, Holly Janes, Yunda Huang, Allan deCamp, Barb Metch, Shannon

Grant, Brittany Sanchez, Sanjay Phogat, Georiga D. Tomaras, Julie McElrath, James Kublin,

Lawrence Corey, Peter B. Gilbert* (2016) Selection of HIV vaccine candidates for concurrent testing

in an efficacy trial, Current Opinion in Virology, 17: 57-65. PMC4902743.

72. Laura Carbone, Karen Johnson, Ying Huang, Mary Pettinger, Fridjtof Thomas, Jane Cauley, Carolyn

Crandall, Lesley Tinker, Meryl Susan LeBoff, Jean Wactawsk-Wende, Monique Bethel, Wenjun Li,

and Ross Prentice. (2016) Sodium intake and osteoporosis. Findings from the Women’s Health

Initiative. The Journal of Clinical Endocrinology & Metabolism, 101(4): 1414-1421. PMCID:

PMC4880174.

73. Gilbert, P. and Huang, Y. (2016) Predicting overall vaccine efficacy in a new setting by re-calibrating

baseline covariate and intermediate response endpoint effect modifiers of type-specific vaccine

efficacy. Epidemiologic Methods, In Press.

74. Fong, Y, Yin, S, and Huang, Y* (2016) Combining biomarkers nonlinearly for classification using the

area under the ROC curve. Statistics in Medicine, 35(21): 3792-3809. PMCID: PMC4965290.

75. Huang, Y., Gilbert, P.B., Fu, R., and Janes, H. (2015) Statistical methods for down-selection of

treatment regimens based on multiple endpoints, with application to HIV vaccine trials.

Biostatistics, In Press.

76. Gilbert P#., Huang, Y#., and Janes, H#. (2016) Modeling HIV vaccine trials of the future. Current Opinion in HIV & AIDS.#equal contribution. In Press.

77. Brett Hanscom, Holly Janes, Peter D. Guarino, Ying Huang, Elizabeth R. Brown, Ying Qing Chen, Scott M. Hammer, Peter B. Gilbert, Deborah J. Donnell (2016) Preventing HIV-1 infection in women using oral pre-exposure prophylaxis: a meta-analysis of current evidence. Journal of Acquired Immune Deficiency Syndromes, In Press.

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78. Fong, Y., Di, C., Huang, Y., and Gilbert, P. (2016) Model-robust inference for continuous threshold

regression models. Biometrics, In Press. 79. Lampe, J. W., Huang, Y., Neuhouser, M. L., Tinker, L. F., Song, X., Schoeller, D. A., Kim, S., Raftery,

M. D., Di, C., Zheng, C., Schwarz, Y., Van Horn, L., Thomson, C. A., Mossavar-Rahmani, Y., Beresford, S. A. A., and Prentice, R. L. (2016) Dietary biomarker evaluation in a controlled feeding study in women from the Women’s Health Initiative Cohort. American Journal of Clinical Nutrition, In Press.

80. Balasenthil, S., Huang, Y., Suyu Liu, Marsh, T., Chen, J., Stass, S., KuKuruga, D., Brand, R., Chen, N., Frazier, M. L., Lee, J., Srivastava, S., Sen, S., and Killary, A. M. (2016) A plasma biomarker panel to identify surgically resectable early stage pancreatic cancer. Journal of National Cancer Institute. In Press.

Submitted

1. Prentice, R. L., Huang, Y. , Neuhouse, M. L., Manson, J. E., Mossavar-Rahmani, Y., Thomas, F.,

Tinker, L. F., Allison, M., Johnson, K. C., Wssertheil-Smoller, S., Seth, A., Rossouw, J. E., Shikany, J.,

Crbone, L. D., Martin, L. W., Stefanick, M., Haring, B., and Van Horn, L. (2016) Biomarker calibrated

sodium and potassium intake and cardiovascular disease risk among postmenopausal women.

Revision under review by American Journal of Epidemiology.

2. Kim, S. and Huang, Y. (2015) Methods for covariate adjustment in combining multiple markers.

Revision under review by Statistics in Medicine.

3. Fong, Y., Huang, Y., and Gilbert, P. (2015) Estimation and hypothesis testing under four types of

change point models using chngpt. Submitted.

4. Sukhwinder Kaur, Lynette M. Smith, Asish Patel, Melanie Menning, Duncan C. Watley, Saad S. Malik, Shiv Ram Krishn, Kavita Mallya, Abhijit Aithal, Aaron R. Sasson, Sonny L. Johansson, Maneesh Jain, Tracey Marsh, Ying Huang, Shailender Singh, Sushovan Guha, Chandrakanth Are, Massimo Raimondo, Michael A. Hollingsworth, Randall E. Brand, and Surinder K. Batra. (2016) Implications of secretory mucin MUC5AC for pancreatic cancer diagnosis: from training to clinical validity in multi-centric study. Submitted.

5. Andrew J. Spieker, and Ying Huang (2016) A method to address between-subject heterogeneity for identification of principal surrogate markers in repeated low-dose challenge HIV vaccine studies. Revision invited by Statistics in Medicine.

6. Huang, Y. (2016) Evaluating principal surrogate markers in vaccine trials in the presence of multiphase sampling. Revision invited by Biometrics.

7. Fong, Y, and Huang, Y. (2016) Modified Wilcoxon-Mann-Whitney test and power against strong null. Revision invited by American Statistician.

8. Moodie, Z., Juraska, M., Huang, Y., Zhuang, Y., Fong, Y., Self, S. G., Chambonneau, L., Small, R., Jackson, N., Noriega, F., and Gilbert, B. (2016) Neutralizing antibody correlates analysis of tetravalent dengue vaccine efficacy trials in Asia and Latin America. Submitted.

9. Fong, Y., Huang, Y., Lemos, M. P., and McElrath, J. (2017) Rank-based two-sample tests for partially paired data. Submitted.

10. Song, X., Huang, Y., Neuhouser, M. L., Tinker, L. F., Vitolins, M. Z., Prentice, R. L., and Lampe, J. W. (2017) Dietary long-chain fatty acids and carbohydrate biomarkers evaluation in a controlled feeding study in participants from the Women’s Healthy Initiative cohort. Submitted.

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Book Chapter

1. Mossavar-Rahmani, Y., Tinker, L. F., Neuhouser, M. L., Huang, Y. , Shaw, P., Beasley, J. M., Di, C., Zheng,

C., Li, W., Johnson, K., and Prentice, R. L. (2013) Women’s Health Initiative Dietary Modification Trial:

update and application of biomarker calibration to self-rerpot measures of diet and physical activity,

Wiley.

Abstracts

1. Veltri, R.W., Isharwal, S., and Huang, Y. (2010) Beyond the Abstract – Prediction of patient-specific

risk and percentile cohort risk of pathological stage outcome using continuous prostate-specific

antigen measurement, clinical stage, and biopsy Gleason score. UroToday.

http://www.urotoday.com/index. php?option=com.content&task=view&id= 2233774&Itemid=3341.

2. Huang, Yunda, Huang, Ying, Moodie, Zoe, and Li, Sue. (2011) Comparing and combining data across

laboratories after correcting for inter-laboratory variation via integration of paired-sample data. ASA

Biopharmaceutical Section FDA/Industry Statistics Workshop, Washington D. C.

3. Leroux, Brian G., Huang, Ying. (2011) Informative cluster sizes for sub-cluster level covariates and

weighted generalized estimating equations. WNAR/IMS Annual Meeting, Cal Poly – San Luis Obispo,

CA.

4. Michael D. Alpert, Jackson D. Harvey, William J. Niedermyer, Ying Huang, Daryl Morris, Linda Harris,

Hongmei Gao, David Montefiori, Supachai Rerks-Ngarm, Nelson L. Michael, Jerome H. Kim and David

T. Evans. (2011) ADCC titers to HIV-infected cells are detectable in the majority of vaccine recipients

in the RV144 trial. AIDs Vaccine Meeting, Bangkok, Thailand.

5. Holly Janes, Margaret S. Pepe, Ying Huang. (2011) Designing studies to evaluate biomarkers for

selecting patient treatment. Conference on risk assessment and evaluation of predictions. Silver

Spring, MD.

6. Yasmin Mossavar-Rahmani, Lesley F. Tinker, Ying Huang, Marian L. Neuhouser, Susan McCann,

Rebecca Seguin, Mara Vitolins, J. David Curb, Ross L. Prentice (2012) Psychosocial factors in dietary

assessment: biomarkers and self-report in the Women’s Health Initiative. The 8th International

Conference on Diet and Activity Methods. Rome, Italy. Poster Presentation.

7. Spearman Paul, Tomara Georgia, Montefiori David, Ying Huang, Ahmed Hasan, Elizaga Marnie, Hural

John, McElrath Julie, Ouedraogo Laissa, Pensiero Michael, Butler Chris, Kalams Spyros, Overton

Edgar Turner, Barnett Susan, and the NIH/NIAID HIV Vaccine Trials Network. (2012) Rapid

development of cross-clade neutralizing antibody responses after clade B gp120/gp140 protein

priming and clade C gp140 protein boosting. AIDS VACCINE, Boston, USA.

8. Benjamin Logsdon, James Dai, Ying Huang, Li Hsu, Alexander P. Reiner, Ross Prentice, Charles L

Kooperberg (2012). Joint Statistical Meeting (JSM), San Diego, CA.

9. Shuxin Yin*, Youyi Fong, and Ying Huang. (2012) Penalized AUC maximization with kernel property.

Joint Statistical Meeting (JSM), San Diego, CA, USA.

10. Chaeryon Kang* and Ying Huang. (2013) A discrete survival model with random effect for designing

and analyzing repeated low-dose challenge studies in HIV vaccine research. Eastern North American

Region (ENAR)/International Biometric Society (IBS) Annual Meeting, Orlando, FL.

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11. Jeannette M Besley, Joseph Larson, Andrea Z LaCroix, Marian L Neuhouser, Lesley F Tinker, Rebecca

Jackson, Ying Huang, Linda Snetselaar, Charles Eaton, Ross L Prentice. (2013) Associations between

biomarker-calibrated protein intake and bone health in the Women’s Health Initiative. Experimental

Biology Meeting, Boston, MA.

12. Chaeryon Kang*, Ying Huang, and Michael Kosorok. (2013) Identifying immune response

combinations associated with heterogeneous infectious risk in HIV vaccine studies. Joint Statistical

Meeting (JSM), Montreal, Quebec, Canada.

13. Jeannette M Besley, Joseph Larson, Andrea Z LaCroix, Marian L Neuhouser, Lesley F Tinker, Rebecca

Jackson, Ying Huang, Linda Snetselaar, Charles Eaton, Ross L Prentice. (2013) Associations between

biomarker-calibrated protein intake and bone health in the Women’s Health Initiative. The American

Society for Bone and Mineral Research Annual Meeting, Baltimore, Maryland.

14. Peter B Gilbert, Erin E Gabriel, Ying Huang, Ivan Chan. (2013) Assessment of immune correlates of

protection via the vaccine efficacy curve: application to the ZEST trial. Joint Statistical Meeting,

Montreal, Quebec, Canada.

15. Shibasish Dasgupta and Ying Huang. (2014) A bayesian approach to design future studies for

comparing biomarkers. Frontiers of Hierarchical Modeling in Observational Studies, Complex

Surveys and Big Data. College Park, Maryland, USA.

16. Soyoung Kim and Ying Huang. (2014) Methods for covariate adjustment in combining multiple

markers. Joint Statistical Meeting, Boston, Massachusetts.

17. Peter Gilbert and Ying Huang. (2014) Immune-bridging formula for estimating vaccine efficacy in a

new setting, re-calibrating on baseline covariates, post-baseline surrogate endpoints, and

genotypes/serotypes of circulating pathogens. Joint Statistical Meeting, Boston, Massachusetts.

18. Laura Carbone, Karen Johnson, Ying Huang, Mary Pettinger, Fridtjof Thomas, Jane Cauley, Carolyn

Crandall, Lesley Tinker, Meryl Susan LeBoff, Jean Wactawski-Wende, Monique Bethel, Wenjun Li,

Ross Prentice. (2015) Sodium intake and osteoporosis. Findings from the Women’s Health Initiative.

ACR/ARHP Annual Meeting. San Francisco, CA.

19. Yunda Huang, Ying Huang, Zoe Moodie, Sue Li, Steve Self. (2015) Comparing and Combining Data

Across Multiple Sources via Integration of Paired-Sample Data to Correct for Measurement Error.

Joint Statistical Meeting, Seattle, WA.

20. Soyoung Kim and Ying Huang. (2015) Estimation to assess surrogate marker in vaccine trials. Joint

Statistical Meeting, Seattle, WA.

21. Tang, H., Partyka, K., Kletter, D., Hsueh, P., Huang, Y., Brand, R.E., and Haab, B.B. (2015) New

biomarkers for the detection of early-stage and CA19-9-low pancreatic cancer. 46th Annual Meeting

of the American Pancreatic Association, San Diego, CA.

22. Sayan Dasgupta and Ying Huang (2016) Comparing the surrogacy of multiple vaccine-induced

immune response biomarkers in HIV prevention. Eastern North American Region

(ENAR)/International Biometric Society (IBS) Annual Meeting, Austin, TX.

23. Andrew Spieker and Ying Huang (2016) Accounting for heterogeneity when evaluating surrogate

endpoint in a discrete survival model. Eastern North American Region (ENAR)/International

Biometric Society (IBS) Annual Meeting, Austin, TX.

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24. C. J. Miller, Y. Huang, Z. M. Ma, L. Fritts, J. S. Gach, D. N. Forthal (2016) Non-neutralizing antibodies

reduce the rate of SIVmac251 infection following low-dose repeated penile challenge. HIV Vaccine

Keystone Symposia, Olympic Valley, CA.

25. Lesley Tinker, Ying Huang, Marian Neuhouser, Johanna Lampe, Ross Prentice (2016) Feasibility of

using spot urines for WHI CVD Association Studies: AS525 Feability Study 2105. WHI Investigator

Meeting, Columbus, Ohio.

26. Sayan Dasgupta, Ying Huang (2016) Selecting biomarkers for building optimal treatment selection

rules using kernel machines. International Biometric Conference, Victoria, BC, Canada.

27. Yingying Zhuang, Ying Huang, and Peter Gilbert (2016) Evaluating Principal Surrogate Markers with A

Pseudoscore Approach and Simultaneous Inference. International Biometric Conference, Victoria, BC,

Canada.

28. Kazufumi Honda1,2,3, Michimoto Kobayashi4, Takuji Okusaka5, Chigusa Morizane5, Jo Ann Rinaudo6, Ying

Huang7, Tracey Marsh7, Shoji Nakamori8, Masashi Shimahara9, Takaaki Ueno9, Akihiko Tsuchida10,

Naohiro Sata11, Tatsuya Ioka12, Tomoo Kosuge13, Yohichi Yasunami14, Masaru Yoshida2,3, Ken Azuma3,

Sudhri Srivastava6, Tesshi Yamada. Plasma biomarker for detection of early-stage pancreatic cancer and

risk factors for pancreatic malignancy using antibodies for apolipoprotein-AII isoforms. American Society

of Clinical Oncology (ASCO) Annual Meeting, Chicago, IL, 2016.

29. Lesley Tinker, Ying Huang, Marian L Neuhouser, Johanna W Lampe, Xiaoling Song, Ross L Prentice.

Assessing sodium and potassium in 24-h and spot urines: feasibility of calibrating self-reported diet.

Experimental Biology 2016 meeting, San Diego, CA.

30. Kazufumi Honda1,2,3, Michimoto Kobayashi4, Takuji Okusaka5, Chigusa Morizane5, Jo Ann

Rinaudo6, Ying Huang7, Tracey Marsh7, Shoji Nakamori8, Masashi Shimahara9, Takaaki Ueno9,

Akihiko Tsuchida10, Naohiro Sata11, Tatsuya Ioka12, Tomoo Kosuge13, Yohichi Yasunami14, Masaru

Yoshida2,3, Takeshi Azuma3, Sudhir Srivastava6, Tesshi Yamada. (2016) Plasma biomarker for

detecting early stage pancreatic cancer by Apolipoprotein-A2 isoforms. The 20th International

Meeting of Pancreatology, Sendai, Japan.

31. Karen Johnson, Laura Carbone, Ying Huang, Mary Pettinger, Fridtjof Thomas, Jane Cauley, Carolyn

Crandall, Lesley Tinker, Meryl Leboff, Monique Bethel, Jean Wactawski-Wende, Wenjun Li, Ross

Prentice. (2016) Sodium intake and osteoporosis. Findings from the Women’s Health Initiative. WHI

Investigator Meeting, Columbus, Ohio.

32. Xiaoling song, Ying Huang, Marian L. Neuhouser, Lesley F. Tinker, Mara Z. Vitolins, Juned Siddique,

Ross L. Prentice, Johanna W. Lampe. (2017) Dietary long-chain fatty acids and carbohydrate

biomarkers evaluation in a controlled feeding study in women from the Women’s Health Initiative

Cohort. Experimental Biology, Chicago, MD.

33. Daniel Barnett, Ying Liu, Katie Partyka, Galen Hostetter, Herbert Zeh, Aatur D. Singhi, Ying Huang,

Richard Drake, Randall E. Brand, and Brian B. Haab. (2017) A new glycan biomarker for pancreatic

cancer complements CA19-9 and identifies a distinct subpopulation of cancer cells. American

Association for Cancer Research (AACR) Annual Meeting, Washington, DC.

34. Lesley Tinker, Ying Huang, Marian Neuhouser, Johanna Lampe, Xiaoling Song, Linda Van Horn, Laura

Carbone, Karen Johnson, JoAnn Manson, Yasmin Mossavar-Rahmani, Simin Liu, Linda Snetselaar,

Ross Prentice. (2017) Biomarker calibration equations for assessing dietary sodium & potassium

intake in a controlled feeding study. WHI Investigator Meeting.

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Invited Presentations

1. “Evaluating the predictiveness of continuous biomarkers in case-control studies.” WNAR/IMS annual

meeting, Irvine, CA. 2007.

2. “Borrowing information across populations in evaluating risk prediction markers.” Brown University

Center of Statistical Sciences, Providence, RI. 2008.

3. “Evaluating and comparing risk prediction markers.” Fred Hutchinson Cancer Research Center,

Biostatistics and Biomathematics Seminar, Seattle, WA. 2008.

4. “Assessing the capacity of biomarkers to predict individual-level treatment effect.” WNAR/IMS

Annual Meeting. Seattle, WA. 2010.

5. “Assessing the capacity of biomarkers to predict individual-level treatment effect.” University of

Wisconsin Madison, Department of Biostatistics and Bioinformatics Seminar, Madison, WI. 2010.

6. “Comparing Biomarkers As Principal Surrogate Endpoints.” First Joint Biostatistics Symposium.

Beijing, China. 2010.

7. “ADCC/ADCVI Comparison Study.” RV144 Preliminary Laboratory Project Briefing Meeting. Seattle,

WA. 2011.

8. “A new logistic regression based framework on standardized marker in biomarker evaluation.” Fred

Hutchinson Cancer Research Center, Vaccine and Infectious Disease Division Faculty Retreat.

Woodinville, WA. 2011.

9. “Design and estimation in evaluation of principal surrogate marker in vaccine trials”. Department of

Biostatistics, University of Washington, Seattle, WA, 2011.

10. “Design and estimation for evaluating the immune surrogates in HIV vaccine trials”. VIDD faculty

seminar, Fred Hutchinson Cancer Research Center, Seattle, WA, 2012.

11. “Sampling design optimization and estimation for evaluating principal surrogate markers in HIV

vaccine trials”. ICSA Applied Statistical Symposium, Boston, MA, 2012.

12. “Design and estimation in evaluation of principal surrogate marker in vaccine trials”. Joint Statistical

Meeting, San Diego, CA, 2012 (topic contributed).

13. “Personalized evaluation of biomarker value: a cost-benefit perspective.” Eastern North American

Region (ENAR)/International Biometric Society (IBS) Annual Meeting, Orlando, FL, 2013

14. “Combining biomarkers to maximize treatment selection benefit”. Joint Statistical Conference by the

International Chinese Statistical Association (ICSA) and the International Society for

Biopharmaceutical Statistics (ISBS), Washington, D.C., 2013

15. “Identifying optimal biomarker combinations for treatment selection through randomized

controlled trials”. Department of Biostatistics, MD Anderson Cancer Center, 2013.

16. “Identifying optimal biomarker combinations for treatment selection through randomized

controlled trials”. University of Pennsylvania, Department of Biostatistics and Epidemiology, 7th

Annual Conference on Statistical Issues in Clinical Trials, 2014.

17. “HVTN correlates program: down selection”. HVTN full group meeting, Washington DC, 2014.

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18. “Charactering expected benefits of biomarkers in treatment selection”. Joint Statistical Meeting,

Boston, MA, 2014 (topic contributed).

19. “Personalized evaluation of biomarker value in risk prediction and treatment selection: a cost-

benefit perspective”. Joint Statistical Meeting, Seattle, WA, 2015.

20. “Identifying optimal biomarker combinations for treatment selection through randomized

controlled trials”. Joint 24th ICSA Applied Statistics Symposium and 13th Graybill Conference. 2015.

21. “Statistical methods for down-selection of HIV vaccine regimens based on immune response

biomarkers”. Fred Hutchinson Clinical Trial Affinity Group presentation. May 2015.

22. “Utilizing biomarker in cancer and vaccine research”. Fred Hutchinson Data Science Workshop. Jan

2016.

23. “Evaluation of Immune Biomarkers as Principal Surrogate Endpoints in Vaccine Trials under a Multi-phase Sampling

Framework”. 2016 IISA International Conference on Statistics, Orvallis, Oregon, August 2016.

24. “Identifying Optimal Biomarker Combinations for Treatment Selection Using Data from Randomized Controlled

Trials”, 22nd

International Conference on Computational Statistics (COMPSTAT 2016), Oviedo, Spain, August, 2016.

25. “The relationship between immune responses to tetanus vaccine, hepatitis B vaccine and a pox-

protein HIV vaccine regimen”. HVTN Full Group Meeting, Seattle, WA, 2016.

26. “Bridging overall vaccine efficacy to a new setting utilizing immune correlates of protection”. Center

for Statistics, Southwestern University of Finance and Economics, Chengdu, Sichuan, China, 2016.

27. “Predicting Overall Vaccine Efficacy in a New Setting by Re-Calibrating Baseline Covariate and

Immune Response Endpoint Effect Modifiers of Genotype-Specific Vaccine Efficacy”. 5th Annual IDM

Modeling Symposium, Bellevue, WA, April, 2017.

Contributed Presentations

1. Estimating the predictiveness curve in case-control studies. Poster presented at the Joint Statistical

Meeting, Seattle, WA, 2006

2. Evaluating continuous risk prediction markers in case-control studies. Poster presented at the XXIII

International Biometric Conference, Montréal, Québec, Canada, 2006

3. Evaluating the predictive capacity of a continuous biomarker. Joint Statistical Meeting, Salt Lake City,

UT, 2007

4. Borrowing information across populations in evaluating risk prediction markers. WNAR/IMS annual

meeting, Davis, CA, 2008

5. Meta-analysis method for evaluating population-specific PPV and NPV. Poster presented at the 5th

EDRN Scientific Workshop, Bethesda, MD, 2008

6. Comparing biomarkers as principal surrogate endpoints. Joint Statistical Meeting, Vancouver, BC,

Canada, 2010

7. Comparing biomarkers as principal surrogate endpoints. Young Investigator Workshop, Vancouver,

BC, Canada, 2010

8. Logistic regression based framework for borrowing information across population in evaluating risk

prediction markers. ENAR annual meeting, New Orlean, LA, 2010

9. Design and Estimation for Principal Surrogate Markers in Vaccine Trials. XXVIth International

Biometric Conference, Kobe, Japan, 2012

10. Robust Kernel Method for Identifying Marker Combinations in Treatment Selection, The Ninth ICSA

International Conference, Hong Kong, 2013.

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11. Statistical Methods for Selection of HIV Vaccine Regimens based on Immune Response Biomarkers.

WNAR/IMS Conference, Honolulu, HI, 2014.

12. Statistical Methods for Down-Selection of HIV Vaccine Regimens based on Immune Response

Biomarkers. IMS-China International Conference on Statistics and Probability. Kuming, Yunnan,

China. 2015.

13. Evaluating and comparing biomarkers in two-phase case-control studies. International Biometric

Conference (IBC) 2016, Victoria, BC, Canada.

14. The relationship between immune responses to tetanus vaccine, hepatitis B vaccine and a pox-

protein HIV vaccine regimen. HIVR4p, Chicago, IL, 2016.

Funding Sources

Pending Research Support

NIH infectious diseases statistical methods P01 (PI: YingQing Chen) 1/1/2017-1/1/2022

Title: Quantitative methods and modeling in infectious disease research.

NIH cancer statistical methods P01 (PI: Hsu Li) 1/1/2017-1/1/2022

Title: Statistical methods in epidemiologic and clinical studies of chronic diseases.

NIH Subcontract from U California Davis (1 R01 AI120212-01) (PI: Miller) 1/1/2016-12/31/2020

Title: Roles of SIV-specific T cells and Ad5 specific T cells in vaccine enhanced penile SIV transmission.

NIH Subcontract from UNMC (R01) (PI: Kaur) 12/1/2016-11/30/2021

Title: Combinatiorial Biomarker Signature(s) for Pancreatic Cancer Diagnosis and Prognosis.

Ongoing Research Support

1 R01 GM106177-01 (PI: Ying Huang) 4/1/2013-3/31/2018

Title: Statistical methods for evaluation and selection of biomarkers

NIH Subcontract from Univ. California Davis (R01 AI118590) (PI: Ying Huang) 6/15/2015-5/31/2020

Title: How did a vaccine enhance HIV acquisition?

NIH Subcontract from Van Andel Institute (U01 CA152653) (PI: Ying Huang) 4/1/2016-3/31/2021

Title: Detection and prognosis of early-stage pancreatic cancer by interdependent plasma markers

NIH Subcontract from Van Andel Institute (U01 CA168896) (PI: Ying Huang) 8/8/2012-6/30/2017

Title: Targeted Glycomics and Affinity Reagents for Pancreatic Cancer Biomarker Development

UM1 AI068635 (Gilbert) 6/29/2006-11/30/2020

Agency: NIH/NIAID

Title: Leadership for HIV/AIDS Clinical Trials Networks: HIV Vaccine Trials Network

This application to be the Statistical and Data Management Center (SDMC) describes how the Statistical

P a g e | 18

Center for HIV/AIDS Research & Prevention (SCHARP) will (1) provide statistical leadership for the

design, conduct, analysis and publication of Network clinical trials/studies; (2) provide central data

management capability that includes randomization, data set and case report form design, central

storage, security, processing and retrieval of study results; (3) provide data management and protocol

training throughout the Network; (4) provide data-focused clinical trials implementation, and operation;

and (5) contribute to cross-Network efforts in developing common data elements.

Role: Statistician

4R37 AI054165-09 (Gilbert) 04/01/2015-03/31/2020

Agency: NIH/NIAID

Title: Statistical Methods in HIV Vaccine Efficacy Trials

This project develops novel statistical methods for the design and analysis of preventative HIV vaccine

efficacy trials and of NHP challenge trials.

Role: Statistician

P01 CA053996 (Prentice) 07/01/11 – 6/30/16

Agency: NIH/NCI

Title: Statistical Methods for Medical Studies

(Project 3: Use of Biomarkers in Diagnosis, Prognosis, Risk Prediction and Early Detection of Disease)

This project proposes to develop statistical methods to allow combining data sources to identify and

confirm new medical tests; to allow early termination of nonperforming biomarkers yet rigorous and

efficient estimation of new medical test performance; and to enable rigorous and efficient study designs

for disease prognosis studies when ascertainment of clinical and biomarker data from all patients in

existing biorepositories is not feasible.

Role: Co-investigator

U24 CA086368 (Feng) 09/01/2015 – 8/31/2020

Agency: NIH/NCI

Title: Early Detection Research Network: Data Management and Coordinating Center

The key for EDRN's success lies in good communication among scientists in multiple disciplines; efficient

evaluation and prioritization of promising biomarkers; and rigorous validation studies to demonstrate

their clinical utility.

Role: Co-investigator

R01 GM054438 (Pepe) 4/1/2012 – 3/31/2017

Agency: NIH/NIGMS

Title: Statistical Methods for Medical Tests and Biomarkers

This grant will continue to develop statistical methods for the evaluation of studies that seek to

investigate the performance of biomarkers for classification and prediction. Aim 1 concerns the

improvement in performance gained by adding a marker to a set of baseline predictors. Aim 2 concerns

a coherent approach to evaluating risk prediction models and their classification performance in a

unified framework.

Role: Co-investigator

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R01 CA119171 (Neuhouser and Lampe) 1/1/2016 – 12/31/2019

Agency: NIH/NCI

Title: Nutrition and Physical Activity Assessment Study (NPAAS III)

Role: Co-investigator

Completed Research Support

Grant#: W81XWH-07-2-0067 (Gilbert) 10 – 06/2012

Agency: USAMRAA (subcontract from Henry M. Jackson Foundation)

Title: Statistical and Data Management Support for Analysis Related to Vaccine Trial (RV144) and

Associated Trials

SCHARP will provide statistical and data management support to the USMHRP for analyses related to

the Phase III HIV vaccine trial (RV144) of the ALVAC-HIV-1 (vCP1521) and AIDSVAX B/E products,

conducted by the USMHRP in Thailand.

Role: Statistician

Grant #: 5R01 CA152089-02 (Janes) 07/2010 – 02/2012

Agency: NIH/NCI

Title: Statistical Methods for Evaluating Markers for Treatment Selection

Interventions for disease treatment and prevention can potentially be made more cost-effective by

using markers to identify in advance the individuals most likely to benefit from the treatment, and thus

avoid treating those unlikely to benefit. This proposal will develop methods to help realize this potential,

by developing standards for evaluating candidate markers. These standards will help distinguish the

good markers from the bad, optimize how the markers are used to select treatment, and ensure that

research studies are designed so that the markers can be properly evaluated.

Role: Co-investigator

Grant#: R01 CA119171 (Prentice and Lampe) 01/06 - 07/11

Agency: NIH/NCI

Title: Nutrition and Physical Activity Assessment

Major Goals: This human feeding study among 150 postmenopausal women in Seattle aims to evaluate

candidate biomarkers for sugars, meat, and whole grains, and to develop biomarkers for other nutrients

and dietary components.

Role: Statistician

Grant #: P01 CA 53996-29 (Prentice) 07/06 - 08/09

Agency: NIH

Title: Statistical Methods for Medical Studies

Major Goals: This program project centers on the development of statistical methods for disease

prevention, epidemiological studies, and biomarker research. The project aims to research better

methods for the design, conduct and analysis of disease prevention and risk factor intervention trials,

cohort and case-control studies, and clinical trials.

Role: Research Associate

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Grant #: HHSN268200764314C (Prentice) 01/07 - 01/09

Agency: NIH/NHLBI

Title: Genome-wide Association Study on Breast Cancer within the Women’s Health Initiative

Major Goals: This study seeks to identify aspects of genotype that relate to the risk of breast and

colorectal cancer, and aspects of genotype that relate to the magnitude of intervention effects on breast

and colorectal cancer in the Women’s Health Initiative (WHI) randomized controlled clinical trial (CT).

This study involves an ongoing genome-wide scan of breast cancer cases (as well as coronary heart

disease and stroke cases) and matched controls in the WHI cohorts, being carried out as a collaborative

study between Perlegen Sciences and the WHI.

Role: Research Associate

Grant #: NCI 2 U01 CA86368-06 (Feng, Z.) 03/05 - 08/09

Agency: NIH/NCI

Title: Early Detection Research Network (EDRN): Data Management and Coordinating Center

Major Goals: The key for EDRN's success lies in good communication among scientists in multiple

disciplines; efficient evaluation and prioritization of promising biomarkers; and rigorous validation

studies to demonstrate their clinical utility. The overall aims of the proposed renewal of the Data

Management and Coordinating Center (DMCC) are to (i) provide coordination of EDRN in order to

enhance communication and collaboration among EDRN investigators and with general scientific

communities; (ii) provide statistical support to evaluate and prioritize promising biomarkers, and (iii)

coordinate EDRN validation studies.

Role: Research Associate

Grant #: RO1 GM082802 (Wang) 07/08 - 08/09

Agency: NIGMS

Title: Statistical Methods for Integrative Analysis of Genomics and Proteomics Data

Major Goals: Recent advances in high throughput technologies have made large integration study

feasible, in which different types of data from numerous sources are collected at a genome-wide scale,

including: DNA sequences, DNA copy number alternations, mRNA expression and protein expression

measurements. The full extent of biomedical information in these studies cannot be realized without

effective statistical and computational methods. Thus, the long term goal of this research is to develop

innovative methods jointly modeling these different types of data to elucidate the large-scale modular

organization of the cell in biomedical studies.

Role: Research Associate