The PhD in Biostatistics prepares students for advanced study and research in biostatistics. The program targets students with strong skills and training in mathematics and statistics who are interested in applications in health care and biological settings.
PhD Biostatisticians typically function as independent investigators or key collaborators and co-investigators with researchers in other areas. In this function they take the lead in designing studies and analyses. Many continue to teach and carry out research developing new statistical methods. Areas of faculty research include analysis of longitudinal data, clinical trials, statistical methods in genetics and genomics, causal modeling, treatment of missing data and imputation, and power and sample size analysis.
Coursework (beyond the MS in Biostatistics) includes: advanced applied statistics; advanced theoretical statistics; and electives in a health care or biological area of the student’s choice.
For students with an MS in biostatistics or a related field the program can be completed in three to four years, with most of the first one to two years devoted to coursework and most of the later years to research and dissertation. Research and dissertation work involves developing, comparing and evaluating statistical methods (e.g. methods for analyzing data), typically motivated by an application in health care or biology.