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

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.

Core Faculty

	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, Ph.D. Tree-structured regression and ensemble methods, survival analysis with competing risks, multilevel models, cancer epidemiology and health services research.
	Michael Boehnke, Ph.D. Design and analysis of human gene mapping studies of common multifactorial diseases. Genome-wide association studies. Genetics of type 2 diabetes and related traits, bipolar disorder, and glaucoma.
	Thomas Braun, Ph.D. Bone marrow transplantation, periodontal disease, Bayesian Phase I trial designs, clinical trials, hierarchical models, longitudinal data.
	Michael R. Elliott, Ph.D. Design and analysis of observational studies; applications in injury control.
	Brenda Gillespie, Ph.D. Applied biostatistics, particularly survival analysis, clinical trials, and applications of biostatistics to epidemiology.
	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.
	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.
	Sinae Kim, Ph.D. Bayesian variable selection, clustering, nonparametric bayes, wavelets, bioinformatics, DNA microarray analysis.
	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.
	Yun Li, Ph.D. Causal inference, missing data issues, Bayesian inference, surrogate and auxiliary data issues, mixed models, survival analysis, applications in clinical trials, observational studies, cancer, cardiovascular disease, and liver and kidney disease.
	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, Ph.D. Bayesian semiparametric methods, experimental design, statistical methods for case-control and other choice-based sampling schemes, applications in epidemiology.
	Susan Murray, Sc.D. Nonparametric survival analysis, missing data issues, quality of life research, group sequential monitoring of survival endpoints, correlated survival endpoints, breast cancer research.
	Bin Nan, Ph.D. Semiparametric regression models, survival analysis, high-dimensional data analysis, cohort studies, clinical trials.
	Zhaohui Steve Qin, Ph.D. Modeling and computation in statistical genetics and genomics, applications in bioinformatics, Monte Carlo methods.
	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 Sanchez, Ph.D. Structural equations and latent variable models longitudinal data, study design, and spatial statistics; applied research interest in interdisciplinary, environmental, and social epidemiology.
	Douglas E. Schaubel, Ph.D. Multivariate survival analysis, recurrent event data, dependent censoring.
	Laura Scott, Ph.D. Design and analysis of genetic studies of complex diseases. Integration of biological information in the evaluation of genetic associations. Identifying genetic variants that increase risk of type II diabetes and bipolar depression.
	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, Sc.D. Clinical trials methodology, particularly adaptive designs, and women's and children's health.
	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, Ph.D. Multivariate semiparametric survival models, applications in cancer.
	Lu Wang, Ph.D. Nonparametric and semiparametric regression, semiparametric efficiency, missing data, longitudinal (correlated/clustered) data, epidemiology, observational studies, clinical trials.
	Wen Ye, Ph.D. Clinical trials and epidemiological studies, particularly measurement error, informative dropout, missing data, and non-compliance issues.
	Sebastian Zöllner, Ph.D. Genetic modeling, particularly the inheritance process; gene mapping.
	Min Zhang, Ph.D. Semiparametric methods with missing and censored data, clinical trials, causal inference, survival analysis, and longitudinal data analysis.

Faculty with Joint Appointments

	Moulinath Banerjee, Ph.D. Large sample theory, likelihood based methods, non-standard asymptotics, shape restricted estimation, nonparametric methods and their applications to the natural and biological sciences.
	Andrzej T. Galecki, M.D., Ph.D. Developing computational methods for analyzing correlated and over dispersed data.
	Noah A. Rosenberg, Ph.D. Statistical methods for analysis of data on genetic variation, mathematical modeling, computer simulations, and statistical inference.
	Kerby Shedden, Ph.D. Statistical modeling in the natural sciences. High dimensional and massive data sets. Statistical computing.

Lecturers and Adjunct Faculty

	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.
	Maureen A. Sartor, Ph.D. Developing statistical methodology for high throughput genomic and proteomic experiments and other bioinformatic applications.

Emeritus Faculty

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