Dr. Travis Loux (PSTAT-UCSB)

Title: Causal Inference, Propensity Scores, and Odds Ratios

Abstract: We will begin with an introduction to the field of causal inference, including basic goals, the main issues with inference, and the potential outcomes model. We then explain how randomization accomplishes these goals and the assumptions necessary for observational studies to mimic randomized studies.  A number of uses of the propensity score, a common tool for causal inference, are introduced.  We then investigate various odds ratio parameters in the context of potential outcomes.  Finally, we perform a simulation study using numerous propensity score methods to estimate the marginal odds ratio and conclude with a few insights into the use of propensity scores.