Why this Article:
Missing or incomplete data on confounders is a common problem in epidemiology. This article discusses a two-stage calibration method using propensity scores to address missing data on confounders in observational studies. The main drawback is that this approach requires a small subset with complete data. However, in situations where gathering complete data on a subset is feasible this a method worth considering.