Faculty Research Interests

Our faculty research spans a range of topics, including empirical likelihood approaches, computationally intensive methods, statistical methods in diagnostic studies,  statistical genetics and genomics, non-linear and multivariate path models, measurement error models, Bayesian methods, longitudinal models, bioinformatics,  and clinical trials design and analysis.

Research Interests
Longitudinal data methods, measurement error models, risk assessment, biostatistics, epidemiological modeling, maternal and child health epidemiology, radiation effects

Research Interests
Mathematical biology, optimization, numerical analysis, inverse problems, statistics and scientific computing, methodology development for mathematical modeling and simulation of metabolic and genetic networks, data analysis including microarray and quantitative trait loci

Research Interests
Bioinformatics, clinical trials, computational methods and order statistics

Research Interests
Statistical genetics and experimental design

Research Interests
Bio-technical image analysis, array comparative genomic hybridization (aCGH) analysis, microarray analysis, nonparametric statistics, bootstrap methods, software development

Research Interests
Design of clinical trials, survival analysis, statistical genetics, skewed data analysis, analysis of medical expenditure data, cancer research, behavioral studies, health policy issues

Research Interests
Optimal testing; Bayes factor; optimal designs; segmented regression models; censored data; change point problems; sequential analysis; receiver operating characteristic curves analysis; Measurement error; statistical epidemiology; biostatistics; asymptotic methods of statistics; forecasting; renewal theory; Tauberian theorems; time series; categorical analysis; multivariate analysis; multivariate testing of complex hypotheses; factor and principal component analysis

Research Interests
Clinical trial design, permutation tests, resampling techniques, goodness-of-fit tests, distributional characterizations, copulas, tests of independence, biostatistics

Research Interests
Stochastic population models and saddlepoint approximation