Presentation available at http://math.ucdenver.edu/~ssantori/UCD_statistics_group.pdf

The statistics group in the Department of Mathematical and Statistical Sciences at the University of Colorado Denver has had many exciting changes over the past two years. In this seminar, we will introduce our faculty and their research areas as well as provide information on educational opportunities, outreach and consulting. Are you interested in establishing a outreach and consulting. Are you interested in establishing a collaboration with a statistician? Are you interested in furthering your education in the area of statistics? Do you have a short term statistics question or project for which you need assistance? Are you interested in potential students for internships? Come visit with us and bring your questions!

Stephanie A. Santorico, PhD - Associate Professor and Graduate Program Director”: Statistical genetics, Genetic epidemiology, Simulation, Genetics of gene expression; Stephanie.Santorico@ucdenver.edu

Loren Cobb, PhD - Research Associate Professor and Statistical Consulting Service Director: Socio-economic dynamics, Modeling and simulation, Mathematical statistics; Loren.Cobb@ucdenver.edustatistics; Loren.Cobb@ucdenver.edu

Steve Culpepper, PhD – Assistant Professor: statistics in the social sciences, Profile analysis methods, Monte Carlo simulations; Steve.Culpepper@ucdenver.edu

Josh French, PhD – Assistant Professor: Extreme value theory, Spatial statistics, Environmental application, Simulation, Genetic epidemiology and genetics of gene expression; Joshua.French@ucdenver.edu

Ashok Krishnamurthy, PhD – Post-doctoral researcher: Clinical Trials, Phase I/II Dose-Finding Trials, Bayesian Statistics, Multivariate Data Analysis, Statistical Consulting; Ashok.Krishnamurthy@ucdenver.edu

� Ph.D., North Carolina State University, 1999� Statistics� Program in Statistical Genetics

� Professional positions� Associate Professor, Department of Mathematical and Statistical Sciences, University of Colorado � Associate Professor, Department of Mathematical and Statistical Sciences, University of Colorado

Denver, 2008-� Associate Professor, Department of Statistics, Oklahoma State University, 2006-2008� Assistant Professor, Department of Statistics, Oklahoma State University, 2004-2006� Senior Statistician, Rosetta Inpharmatics Inc., 2001-2003� Assistant Professor, Institute for Public Health Genetics, 1999-2004� Assistant Professor, University of Washington, Department of Biostatistics, 1999-2004� Fellow, Biostatistics Branch, National Institute of Environmental Health Sciences, 1997-1999

� Research Interests� Statistical Genetics� Genetic Epidemiology� Genetics of Gene Expression� Integrating Genomics Data to Understand Complex Human Traits including Methods involving

Genetic Linkage and Linkage Disequilibrium

� Wan JW, Santorico SA (submitted) Bivariate linkage analysis of quantitative traits under incomplete pleiotropy

� Edwards KL, Hutter CM, Wan JY, Kim H, Monks SA (2008) Genome-wide linkage scan for the metabolic syndrome: the GENNID study. Obesity 16(7):1596-601 – Article has been highlighted by Nature Publishing for research on the Metabolic Syndrome

� Bis JC, Heckbert SR, Smith NL, Reiner AP, Rice K, Lumley T, Hindorff LA, Marciante KD, Enquobahrie DA, Monks SA, Psaty BM (2008) Variation in inflammation-related genes and risk of incident nonfatal myocardial infarction or ischemic stroke. Atherosclerosis 198(1):166-73.

� Schadt EE, Lamb J, Yang X, Zhu J, Edwards S, Guhathakurta D, Sieberts SK, Monks S, Reitman M, � Schadt EE, Lamb J, Yang X, Zhu J, Edwards S, Guhathakurta D, Sieberts SK, Monks S, Reitman M, Zhang C, Lum PY, Leonardson A, Thieringer R, Metzger JM, Yang L, Castle J, Zhu H, Kash SF, Drake TA, Sachs A, Lusis AJ (2005) An integrative genomics approach to infer causal associations between gene expression and disease. Nat Genet 37(7):710-7

� Monks SA, Leonardson A, Zhu H, Cundiff P, Pietrusiak P, Edwards S, Phillips J, Sachs A, Schadt EE (2004) Genetic Inheritance of Gene Expression in Human Cell Lines. Am J Hum Genet 75(6):1094-105

� Schadt EE*, Monks SA * et al (2003) The genetics of gene expression: a survey across man, mouse and maize. Nature. 422:297-302 *Equal contributions by marked authors

� Monks SA, Kaplan NL (2000) Removing the sampling restrictions from family-based tests of association for a quantitative-trait locus. Am J Hum Genet 66:576-592

� Monks SA, Martin ER, Umbach DM, Kaplan NL (1999) Two tests of association for a susceptibility locus for families of variable size: an example using two sampling strategies. Genet Epidemiol 17: S655-S660

� Monks SA, Kaplan NL, Weir BS (1998) A comparative study of sibship tests of linkage and/or association. Am J Hum Genet: 63:1507-1516

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� Member of the American Statistical Association

� Member of the American Society for Human Genetics

� Member of the International Genetic Epidemiology Society

� Involved in the management and instruction of graduate programs for the past 10 years, including� New degree programs at the University of Washington, including a

Certificate of Graduate Studies in Statistical Genetics, a Master of Science in Genetic Epidemiology and Ph.D. programs in both Public Health Genetics and Statistical Genetics.

� Undergraduate Director in the Department of Statistics at Oklahoma State University

� Graduate Director in the Department of Mathematical and Statistical Sciences, University of Colorado Denver

� Research Associate Professor, UCD Mathematics and Statistics, 2008-present

� Director, Statistical Consulting Service, UCD Mathematics and Statistics, 2008-present

� President, Aetheling International Consultants, 1988-present� President, Aetheling International Consultants, 1988-present� Contractor, Center for Hemispheric Defense Studies, National

Defense University 2006-08 � Research Associate Professor, Biostatistics Group, U of New Mexico

Medical School, 1988-93 � Associate Professor, Biometry, Medical University of South Carolina,

1979-88 � Post-Doctoral Fellow, Psychiatry, U South Florida School of

Medicine, 1977-79 � Assistant Professor, Sociology, U of New Hampshire, 1972-77

This figure shows the equilibrium surface of the stochastic cusp catastrophe model. The statistical problem is how to estimate the is how to estimate the coefficients, and from them to solve for the stable equilibria.

f (x) = ψ exp αx − λ

σ

+ 12 β

x − λσ

2

− 14 δ

x − λσ

4

′f (z) = 0⇒α + βz − δz3 = 0, where z =

x − λσ

.

This figure shows an example of a problem in data assimilation for a dynamic spatial model, in this case an influenza epidemic in Sweden.

∂S

∂t= −βIS

∂I

∂t= βIS − γ I + D

∂2I

∂x2

∂R

∂t= −γ I

The figure here shows an interactive tool developed by Dr. Cobb for visualizing alternative alternative long-term scenarios for resource depletion and development.

� Ph.D., University of Minnesota

� Quantitative methods in education

� Psychometrics

� Statistical methods in the social Science� Statistical methods in the social Science

� Research Interests

� Profile analysis and multivariate methods

� Simulation and Monte Carlo methods

� Measurement and using test scores in decision

� Mathematics and science education

� Culpepper, S. A. (In Press). Studying individual differences in predictability with gamma regression and nonlinear multilevel models. Multivariate Behavioral Research.

� Culpepper, S. A. (2009). A multilevel approach for nonlinear profile analysis of dichotomous data. Multivariate Behavioral profile analysis of dichotomous data. Multivariate Behavioral Research, 44, 646-667.

� Aguinis, H., Pierce, C., & Culpepper, S. A. (2009). Scale coarseness as a methodological artifact: Correcting correlation coefficients attenuated from using coarse scales. Organizational Research Methods, 12, 623-652.

� Culpepper, S. A. & Davenport, E. C. (2009). Assessing differential prediction of college grades by race/ethnicity with a multilevel model. Journal of Educational Measurement, 46, 220-242.

� Member of the National Indian Education Study Technical Review Panel, U.S. Department of Education, Washington, D.C.

� American Statistical Association� American Statistical Association

� American Educational Research Association

� Society for Industrial and Organizational Psychology

� Society for Industrial and Applied Mathematics

� Spatial Statistics

� How can we use the dependence between observations located a short distance from each other to make better predictions for nearby locations?nearby locations?

� Stochastic Processes

� How can we better model the responses and behavior of random variables?

� Extreme Value Theory

� Can we model the behavior of extreme events?

� How likely is it that we see Spring Creek rise 10 feet above its � How likely is it that we see Spring Creek rise 10 feet above its usual level?

� How likely is it that we have a snowstorm drop 4 ft of snow in Denver within a 24 hour period?

�� Department of Mathematical and Statistical Sciences , Department of Mathematical and Statistical Sciences , College of Liberal Arts and Sciences College of Liberal Arts and Sciences University of Colorado at Denver University of Colorado at Denver ashok.krishnamurthy@ucdenver.edu ashok.krishnamurthy@ucdenver.edu ashok.krishnamurthy@ucdenver.edu ashok.krishnamurthy@ucdenver.edu

� Biostatistician with a mathematical background offering experience in early phase clinical trials, Bayesian Continual Reassessment Method (CRM) and researching gene-expression microarray data-analysis to account for patient heterogeneity in various statistical/biopharmaceutical problems

� Clinical Trials

• Phase I/II Dose-Finding Trials

• Bayesian Continual Reassessment Method

� Microarray Data Analysis� Microarray Data Analysis

• Feature Selection and Classification Algorithms

� Survival Analysis & Multivariate Data Analysis

� Statistical Consulting

� Specialties

• SAS, R/S-PLUS, Minitab, Matlab, Visual Basic .NET, Microsoft Office Suite

� We provide quantitative consulting of many kinds to the university community, to industry and government in the Denver metropolitan area, and to state, federal, and international agencies.

� For university graduate students engaged in thesis research this service is free, all others pay on a sliding scale.

� Our consultants range from university professors with thirty years of consulting experience down to PhD- and MS-level graduate students, who work on selected projects under faculty supervision.

See http://math.cudenver.edu/statistics/consult.shtml for more information.

� Long term collaborations benefit us all!

� For statisticians, this is a forum for development of new methods and designsmethods and designs

� For our students, exposure to real life problems adds to their educational experience

� For the educational program, we are able to draw from our experiences to keep our courses realistic and up to date.

� For scientists, having a statistician involved in the long term design, analysis and interpretation will

� Consulting Service AND

� Consulting Workshop

� Collaborations

� Seminars – we welcome visitors to attend and/or present. � Seminars – we welcome visitors to attend and/or present. Works in progress or problem presentations are also welcomed!

� Certificate program

� MS and PhD program

Email Stephanie.Santorico@ucdenver.edu to be added to the mailing list for statistics seminars and activities.

� There is a growing need for qualified analysts of the ever-increasing amounts of data collected in business, industry, and government.

� The Certificates in Applied Statistics program is designed to give students a strong background in statistical methodology and data analysis in preparation for opportunities in the work force or as preparation for preparation for opportunities in the work force or as preparation for graduate studies.

� Students will gain competence in such topics as survey and experimental design, descriptive statistics, estimation, confidence intervals, inferential techniques, simple and multiple regression, analysis of variance, and more-advanced topics.

� Students can focus on a particular application area such as economics, psychology, sociology, geology, environmental science, etc., through the choice of an elective course and the data analysis project.

� We offer both undergraduate and graduate certificates.

See http://math.cudenver.edu/statistics/certificates.shtml for more information

� We offer a MS in Applied Mathematics with a concentration in Applied Statistics.

� We also offer a PhD in Applied Mathematics which is very flexible in terms of content allowing for catering of flexible in terms of content allowing for catering of coursework to a particular student.

� Many of our graduate students work full-time outside the university. Hence, we try to offer courses in the evenings.

� Funding is available through the university in the form of teaching assistantships, research assistantships, fellowships and teaching awards.

See http://math.cudenver.edu/graduate/ for more information