Research Areas

Bayesian Inference: Gaskins, Mitra, Wu

Bioinformatics: BrockDatta So, Datta Su, Rai

Bootstrap methods: Datta So, Kong, Kulasekera, Rai

Cancer biostatistics: Rai, Wu

Causal Inference:Datta So, Kulasekera, Kong, Lorenz

Classification: Datta So, Rai

Clinical trials: BarnetteKong, Mitra, Rai

Clustered data: Datta So, Kong, Lorenz

Clustering methods: Datta So, Datta Su

Compound decision methods: Datta So

Decision theory: Datta So, Wu

Effect size estimation: Barnette

Empirical Bayes methods: Datta So, Datta Su

Epidemiology: Barnette, Brock, Rai

Epigenetics: Mitra

Genomics: Brock

Infectious disease modeling: Brock, Datta Su

Linear models: Kong, Kulasekera, Rai

Longitudinal data analysis: Gaskins, Kong, Kulasekera, Rai

Markov chain Monte Carlo methods: Gaskins, Wu

Metabolomics: Datta Su, Rai

Microarray data analysis: Brock, Datta So, Datta Su, Rai

Missing data methods: Barnette, Brock, Datta So, Gaskins

Multistate modeling: Brock, Datta So, Datta Su, Kulasekera, Lorenz, Rai

Multivariate statistics: Gaskins, Kulasekera

Next generation sequencing: Datta So, Datta Su, Lorenz, Mitra, Rai

Nonparametric inference: Datta So, Kong, Kulasekera, Lorenz, Pal

Preclinical studies: Rai

Probability modeling: Wu

Proteomics: Datta So, Datta Su, Mitra, Rai

Psychometrics: Barnette

Semiparametric modeling: Datta So, Kong, Kulasekera, Lorenz

Statistical computing: Brock, Datta Su, Kong, Lorenz

Statistical genetics: Brock, Datta So, Datta Su

Survival analysis: Brock, Datta So, Datta Su, Kulasekera, Lorenz, Rai

Time series: Datta So, Wu

Variable and model selection methods: Kulasekera

Varying coefficient models: Kulasekera

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