Synthetic Negative Controls: Using Simulation to Screen Large-scale Propensity Score Analyses.

ABSTRACT: The propensity score has become a standard tool to control for large numbers of variables in healthcare database studies. However, little has been written on the challenge of comparing large-scale propensity score analyses that use different methods for confounder selection and adjustment. In these settings, balance diagnostics are useful but do not inform researchers on which variables balance should be assessed or quantify the impact of residual covariate imbalance on bias. Here, we propose a framework to supplement balance diagnostics when comparing large-scale propensity score analyses. Instead of focusing on results from any single analysis, we suggest conducting and reporting results for many analytic choices and using both balance diagnostics and synthetically generated control stud

SUBMITTER: Wyss R 

PROVIDER: S-EPMC9156547 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature