|BIS 525||Seminar in Biostatistics and Journal Club||0||Fall|
|BIS 526||Seminar in Biostatistics and Journal Club||0||Spring|
|BIS 557||Computational Statistics||1||Fall|
|BIS 567||Bayesian Statistics||1||Fall|
|BIS 610||Applied Area Readings for Qualifying Exams||1||Spring|
|BIS 623||Advanced Regression Analysis or S&DS 612, Linear Models||1||Fall|
|BIS 628||Longitudinal and Multilevel Data Analysis||1||Spring|
|BIS 643||Theory of Survival Analysis||1||Spring|
|BIS 646||Nonparametric Statistical Methods and their Applications||1||Spring|
|BIS 678||Statistical Practice I||1||Fall|
|BIS 681||Statistical Practice II||1||Spring|
|BIS 691||Theory of Generalized Linear Models||1||Spring|
|BIS 695||Summer Internship in Biostatistical Research||0||Summer|
|BIS 508||Foundations of Epidemiology and Public Health||1||Fall|
|EPH 600||Research Ethics and Responsibilities||0||Fall|
|EPH 608||Frontiers of Public Health*||1||Fall and Spring||One term only is requierd|
|S&DS 610||Statistical Inference||1||Spring|
PhD Elective Courses (3 course units)
* Students entering the program with an MPH or relevant graduate degree may be exempt from this requirement.
In a number of courses, especially the Statistical Consulting (BIS 578a) course students gain actual experience with various aspects of research including preparation of a research grant, questionnaire design, preparation of a database for analysis, and analysis and interpretation of real data. In addition, doctoral students can gain research experience by working with faculty members on ongoing research studies prior to initiating dissertation research, which includes but is not limited to BIS 695c. During the summer following each year of course work, candidates are required to take a research rotation that is approved by the department and communicated to the DGS.
The Department strives for doctoral dissertations that have a strong methodological component motivated by an important health question. Hence, the dissertation should include a methodological advance or a substantial modification of an existing method motivated by a set of data collected to address an important health question. The dissertation must also include the application of the proposed methodology to real data. A fairly routine application of widely available statistical methodology is not acceptable as a dissertation topic. Candidates are expected not only to show a thorough knowledge of the posed health question, but also to demonstrate quantitative skills necessary for the creation and application of novel statistical tools.