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Faculty Trainers

Statistics Trainers in the Department of Biostatistics and Computational Biology

Sally W. Thurston

Modeling multiple outcomes; methods of correcting for measurement error bias; Bayesian inference; informative prior specification; latent variable models; applications in environmental health including associations between methylmercury exposure and neurodevelopment, air pollution and birth outcomes, and endocrine disruptors and reproductive development. Full Profile

Brent A. Johnson

Semi-parametric and nonparametric methods for missing data problems with specific application to causal inference, survival and longitudinal data; dynamic treatment regimes with applications to HIV and AIDS studies, infusion trials, neurological and behavioral disorders; statistical methods for epidemiology. Full Profile

Tanzy Love

Clustering and latent variable models; mixed membership models and model choice; normalization and preprocessing issues relating to gene expression and proteomics data; Bayesian models for QTLs and growth curves; hierarchical Bayesian models for gene expression data; scalable parallel model-based clustering. Full Profile

Matthew N. McCall

Statistical genomics; systems biology; bioinformatics; gene regulatory network estimation; within-subject genomic heterogeneity; preprocessing and analysis of genomic data; effects of cellular composition on tissue-level gene expression. Full Profile

Michael McDermott

Order-restricted inference; methods to analyze dose-response; receiver operating characteristic (ROC) curves and surfaces; methods for combining p-values; meta-analysis; missing data problems; clinical trials methodology; applications in neurological disease. Full Profile

David Oakes

Survival analysis, including multivariate survival data and frailty models; semiparametric inference; clinical trials; applications in environmental medicine and neurological disease. Full Profile

Robert L. Strawderman

Survival analysis; semiparametric methods for missing and censored data; statistical learning methods for risk and outcome prediction in medicine, epidemiology and public health; statistical and computational methods for high dimensional data; statistical methods for evaluating the cost and quality of health care; applications in cancer, psychiatry and neurology. Full Profile

Environmental Health Trainers

Emily Barrett (Department of Epidemiology, Rutgers University)

Early origins of health and disease; prenatal exposure to endocrine disruptors such as phthalates; effects of stress during pregnancy on cortisol activity and neurodevelopmental, factors that impact reproductive hormone concentrations and pregnancy outcomes in adulthood. Full Profile

Deborah Cory-Slechta (Department of Environmental Medicine)

Defining the impact of environmental chemicals (e.g., metals and air pollution) on brain development and behavior, with emphasis on attributable risk to neurodevelopmental disorders. Full Profile

David Q. Rich (Department of Public Health Sciences)

Examining associations between air pollution and cardiopulmonary and pregnancy outcomes; validating biomarkers that may explain associations; developing spatial-temporal models of air pollution to enable field studies of these biomarkers and clinical outcomes associated with residential air pollution exposures. Full Profile

Edwin van Wijngaarden (Department of Public Health Sciences)

Examining influences of environmental exposures, in particular toxic metals, on cognitive outcomes in children and adults. Full Profile