Doctor of Philosophy in Biostatistics

The Ph.D. Program in Biostatistics trains individuals to develop and apply new and innovative biostatistical methods and thus improve the quality of public health and biomedical research and practice. The primary objective of the Ph.D. program in biostatistics is to provide students with the foundations to develop new and innovative biostatistical methods for applications in public health and biomedicine. Student completing the program are trained in core biostatistical methods, design of experiments and public health surveys, recent developments in biostatistical research, statistical computing, biostatistical consulting, probability, and mathematical statistics. The Faculty of Biostatistics have expertise in bioinformatics, biomarker data, data mining, causal modeling, classifier development and validation, covariate measurement error models, ecological momentary assessment, environmental statistics, experimental design, high dimensional data analysis, longitudinal data analysis, machine learning, medical diagnostic testing, missing data problems in clinical trials, nonparametric methods, recurrent events analysis, ROC curves, semiparametric regression, spatial epidemiology, spatial statistics, statistical genetics and survival analysis.