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Biostatistics

Along with providing education and training, department of Biostatistics faculty and researchers have achieved national and international reputations for excellence in their respective fields of research and expertise. Short summaries of faculty are detailed below.

Department Chair

Trivellore Raghunathan Trivellore Eachambadi Raghunathan, Ph.D.
Statistical analysis of incomplete data, multiple imputation, Bayesian inference, design and analysis of sample surveys, small area estimation, analysis of longitudinal data, confidentiality and disclosure limitation, cardiovascular epidemiology.

Core Faculty

Goncalo Abecasis Goncalo Abecasis, D.Phil.
Identification of genes involved in complex disease, with a special emphasis on developing analytical methods that help geneticists reap the full benefits of new high-throughput technologies.
Mousumi Banerjee Mousumi Banerjee, Ph.D.
Tree-structured regression and ensemble methods, survival analysis with competing risks, multilevel models, cancer epidemiology and health services research.
Veronica Berrocal Veronica Berrocal, Ph.D.
Spatial, spatio-temporal, Bayesian and environmental statistics, as well as developing statistical methods to characterize environmental exposure and its relationship with health outcomes.
Michael Boehnke Michael Boehnke, Ph.D.
Design and analysis of human gene mapping studies of common multifactorial diseases, genome-wide association and sequencing studies, and genetics of type 2 diabetes and related traits, and bipolar disorder.
Philip Boonstra Philip S. Boonstra, Ph.D.
Shrinkage estimators, hierarchical models, and problems of measurement error. Cancer-related applications, including cancer epidemiology and cancer genetics/genomics.
Thomas Braun Thomas Braun, Ph.D.
Bone marrow transplantation, periodontal disease, Bayesian Phase I trial designs, clinical trials, hierarchical models, longitudinal data. 
Michael Elliott Michael R. Elliott, Ph.D.
Design and analysis of sample surveys, causal modeling inference, and latent variable models for longitudinal data with applications to injury epidemiology, reproductive epidemiology, and social determinants of health.
Brenda Gillespie Brenda Gillespie, Ph.D.
Applied biostatistics, particularly survival analysis, clinical trials, and applications of biostatistics to epidemiology.
Zhi (Kevin) He Zhi (Kevin) He, Ph.D.
Survival analysis, high-dimensional data analysis, statistical genetics, statistical methods for epidemiology and causal inference, and statistical methods for analyzing large-scale data arising from CKD and ESRD studies.
Hui Jiang Hui Jiang, Ph.D.
Bioinformatics, statistical genomics and computational statistics.
Timothy Johnson Timothy D. Johnson, Ph.D.
Statistical modeling of biomedical data. Bayesian and MCMC methodology with and emphasis on mixture models and variable parameter spaces. Applications in neurology, cancer, radiology and endocrinology.
Hyun Min Kang Hyun Min Kang, Ph.D.
Genome-wide association mapping with next-generation sequencing data, population stratification in association studies, genetics-driven approach to drug discovery. Statistical and computational method development in genetics.
Kelley Kidwell Kelley M. Kidwell, Ph.D.
Survival analysis, adaptive treatment strategies, and applications to cancer research.
Sehee Kim Sehee Kim, Ph.D.
Joint modeling of longitudinal and recurrent event data, measurement error models, semiparametric regression models.
Seunggeun Lee Seunggeun Shawn Lee, Ph.D.
My research interests include statistical genetics, computational statistics and high dimensional data analysis.
James Lepkowski James M. Lepkowski, Ph.D.
Survey methodology, particularly sampling design and estimation, telephone sample design, handling unit and item nonresponse, variance estimation, analysis of complex sample survey data, and respondent-interviewer interaction in the survey process.
Yi Li Yi Li, Ph.D.
High-dimensional data analysis with applications in genetics/genomics, survival analysis, longitudinal and correlated data analysis, measurement error problems, spatial models and clinical trial design.
Yun Li Yun Li, Ph.D.
Methodology: Causal inference, missing data issues, Bayesian inference, surrogate data, intermediate outcome, mixed models, survival analysis, Applications: clinical trials, observational studies, cancer, cardiovascular disease, and liver and kidney disease.
Roderick Little Roderick J.A. Little, Ph.D.
Statistical analysis with missing data, inference from complex surveys, Bayesian methods, applications of statistics in epidemiology, neurology, cancer, social sciences.
Bhramar Mukherjee Bhramar Mukherjee, Ph.D.
Studies of gene-environment interaction, Bayesian methods, statistical methods for case-control and other outcome dependent sampling schemes, applications in epidemiology.
Susan Murray Susan Murray, Sc.D.
Nonparametric survival analysis, missing data issues, quality of life research, group sequential monitoring of survival endpoints, correlated survival endpoints, pulmonary research.
Bin Nan Bin Nan, Ph.D.
Semiparametric regression models, survival analysis, high-dimensional data analysis, cohort studies, clinical trials.
Trivellore Raghunathan Trivellore Eachambadi Raghunathan, Ph.D.
Statistical analysis of incomplete data, multiple imputation, Bayesian inference, design and analysis of sample surveys, small area estimation, analysis of longitudinal data, confidentiality and disclosure limitation, cardiovascular epidemiology.
Brisa Sánchez Brisa N Sánchez, Ph.D.
Methodology: structural equations, latent variable models, longitudinal & correlated data, study design, robustness; Applications: environmental epidemiology, health disparities, stroke, spatial analysis, neighborhood effects.
Douglas Schaubel Douglas E. Schaubel, Ph.D.
Multivariate survival analysis, recurrent event data, dependent censoring.
Laura Scott Laura Scott, Ph.D.
Identification of genetic variants that increase risk of type II diabetes and bipolar disorder, complex diseases study design, use of biological information to evaluate of genetic associations, methods development for experimental data analysis.
Peter Song Peter X.K. Song, Ph.D.
Longitudinal data analysis, missing data problems in clinical trials, statistical methods in bioinformatics and genetics, and time series analysis.
Cathie Spino Cathie Spino, Sc.D.
Clinical trials methodology, particularly adaptive designs, and women's and children's health.
Jeremy Taylor Jeremy M G Taylor, Ph.D.
Longitudinal and survival analysis, cure models, missing data, Box-Cox transformations, statistical methods for bioinformatics, surrogate and auxiliary variables, statistical modelling of biomedical data.
Alexander Tsodikov Alexander Tsodikov, Ph.D.
Multivariate semiparametric survival models, applications in cancer.
Scott Vrieze Scott Vrieze, Ph.D.
Understanding genetic and environmental influences on addiction, with a specific focus on substance use and abuse in adolescence and early adulthood.
Lu Wang Lu Wang, Ph.D.
Nonparametric and semiparametric regression, semiparametric efficiency, missing data, longitudinal (correlated/clustered) data, epidemiology, observational studies, clinical trials.
Xiaoquan Wen Xiaoquan William Wen , Ph.D.
Bayesian and Computational Statistics with applications in genetics and genomics.
Wen Ye Wen Ye, Ph.D.
Clinical trials and epidemiological studies, particularly measurement error, informative dropout, missing data, and non-compliance issues.
Sebastian Zöllner Sebastian Zöllner, Ph.D.
Population genetics, copy number variation, rare variants, genetics of psychiatric diseases.
Min Zhang Min Zhang, Ph.D.
Semiparametric methods with missing and censored data, causal inference,survival analysis, clinical trials, and longitudinal data analysis.
Lili Zhao Lili Zhao, Ph.D.
Developing Bayesian statistical methodology and applying it in cancer research. Current methodological work involves change point analysis, phase I and II clinical trials.
Xiang Zhou Xiang Zhou, Ph.D.
Computational and Statistical Methods for Large-Scale Genetic and Genomic Studies.

Faculty with Joint Appointments

Andrzej Galecki Andrzej T. Galecki, M.D., Ph.D.
Developing computational methods for analyzing correlated and over dispersed data.
Niko Kaciroti Niko Kaciroti, Ph.D.
Longitudinal data analysis, Bayesian methods, missing-data, clinical trials. Application of statistics in an interdisciplinary setting: medical and social science, developmental data, managing chronic disease, global health.
Maureen Sartor Maureen A. Sartor, Ph.D.
Developing statistical methodology for high throughput genomic and epigenomic experiments and other bioinformatic applications.
Matthew Schipper Matthew J. Schipper, Ph.D.
Early phase oncology trial design, predictive risk modeling and use of biomarkers to individualize and adapt treatment.
Ananda Sen Ananda Sen, Ph.D.
Analysis of recurrent event data in both biomedical and engineering contexts. Competing risks, and accelerated failure time modeling.
Kerby Shedden Kerby Shedden, Ph.D.
Statistical modeling in the natural sciences. High dimensional and massive data sets. Statistical computing.

Lecturers and Adjunct Faculty

Hyungjin Kim Hyungjin Myra Kim, Sc.D.
Evaluation of feasibility, effectiveness, and accuracy of various telemedicine approaches compared with traditional onsite medical care; medical decision analysis; cost-effectiveness analysis.
Kathleen Welch Kathleen B. Welch, M.S.
Models for correlated data for continuous outcomes, and generalized estimating equations and other models for correlated discrete outcomes.

Emeritus Faculty

Morton Brown Morton B. Brown, Ph.D.
Clinical trials, categorical data analysis, statistical computing, robust methods and model fitting.
Richard Cornell Richard G. Cornell, Ph.D.
Adaptive clinical trials and decision analysis.
Jack Kalbfleisch Jack D. Kalbfleisch, Ph.D.
Development of statistical methods and theory, survival and event history analysis, design and analysis of clinical trials, mixture models, stochastic modeling, applications in renal disease and organ transplantation.
Anant Kshirsagar Anant M Kshirsagar, D.Sc.
Multivariate analysis, design of experiments, growth curves, discriminant analysis, canonical analysis, response surface methodology.
Robert Wolfe Robert A. Wolfe, Ph.D.
Survival analysis focusing upon interval censored data, applications of statistics in epidemiology, event history data analysis, and transplantation research.