Missing Data Methods in Causal Inference

This workshop covers types of missing data seen in causal analyses and describes when dealing with them is necessary from both a bias and efficacy perspective. We then focus specfically on multiple imputation when estimating causal effects with a particular emphasis on which variables must be present in the imputation model (and in what functional form).

October 9, 2026

11:00 AM – 12:30 PM

CausalPalooza