Propensity scores: Only you can control confounding

Summary

"As epidemiologists and data analysts doing observational studies, only you can control confounding." When randomization is not an option, we need to develop other methods to get at the right result when we have potential confounding variables that cannot be removed with a coin toss. The propensity score is a numerical technique for addressing confounding in the association between the exposure and the outcome. This talk is a great introduction to why and how to use propensity scores.

Presenters

In this talk, Dr. Dormuth offers a great introduction to why and how to use propensity scores.