HPM 299 [Summer 2] Research With Large Databases*

This course will address potential applications of existing large databases to study important questions regarding clinical risk factors, treatment, outcomes, and health policy.  Strengths and limitations of large databases that are commonly used for research will be considered, and special attention will be devoted to large federal databases that are readily available to new investigators. Practical issues in obtaining, linking, and analyzing large databases will emphasized in the course. Key statistical issues will be addressed, including risk-adjustment and hierarchical modeling. Students will evaluate published studies based on large databases and develop a proposal for analyzing a specific research question with a large database. Course note: Limited enrollment; EPI208 or EPI 200 and BIO 206 or BIO202 required; no auditors. 

Instructor: Dr. John Ayanian
3:30 p.m. - 5:20 p.m. (Mon.-Fri.)
Lectures. 2.5 credits