This is the online companion to the paper ‘An Imputation-Based Solution to Using Mismeasured Covariates in Propensity Score Analysis’, by Yenny Webb-Vargas, Kara Rudolph, David Lenis, Peter Murakami, and Elizabeth Stuart.

You can see the details of the simulations, color figures and code by following the links:

Normal scenario:

Non-normal scenarios:

You can see the code for Guo, Little and McConnell’s Multiple Imputation for External Calibration, or download the R script we used in the simulations.