The format illustrates study design issues and problems on a broad range of research topics. This year-long course reviews the specific issues of style, authorship, and the volume of information that should be incorporated into a research paper. Grant proposal writing and formal reviews of sample research grants are critical components of this course. This course explores the utility of statistical models predicting clinical comes for retrospective review and prospective decision aids. Modeling methods including statistical regressions, artificial neural networks, and classification trees are reviewed.
Emphasis is on model constructions and their applicability to clinical outcomes.
This course is a working overview of the principles of meta-analysis. Course content includes the basic conceptual framework of analysis, examples of implementation, different approaches in the field, and current work. This course teaches students how to listen attentively, elicit appropriate information, and formulate possible solutions or avenues of approach by exposing them to problems in the clinical setting. Students observe the consultation process between biostatisticians and clinicians, debrief the instructor after each session, and provide a written summary of the proceedings. Under the supervision of the biostatistician, each student is required to lead a consultation session.