TOPIC
This mini course offers a session on relative risk regression as an alternative to logistic regression. Why relative risk regression? When modeling a dichotomous (yes-no) outcome, especially an outcome that happens to be common (>5%), if you don't happen to have a case-control study, odds ratios are misleading and unnecessary. Granted, odds ratios are misleading through no fault of their own, they really are a good estimate of what they claim to be, but we people tend to interpret them as something else. Standard software can be used to calculate relative risks instead, and I'll show you how.

Supplemental Documents

• Slides of the powerpoint presentation
• Lumley et al.  "Relative Risk Regression in Medical Research: Models, Contrasts, Estimators, and Algorithms" in The UW Biostatistics Working Paper Series
• Notes

 

This course is open free of charge to faculty, postdoctoral fellows, and graduate students at Columbia University as well as faculty and postdoctoral fellows at other sites of the Robert Wood Johnson Health & Society Scholars (H&SS) Program.

The Health & Society Scholars Program at Columbia University is a postdoctoral program funded by the Robert Wood Johnson Foundation. It is a joint initiative of the Mailman School of Public Health and the Institute for Social and Economic Research and Policy (ISERP) at Columbia, and is co-directed by Bruce Link and Peter Bearman. For more information call 212-854-3694 or email chssp@columbia.edu