2 papers
stat.ME2025
Using directed acyclic graphs to determine whether multiple imputation or subsample multiple imputation estimates of an exposure-outcome association are unbiased
Paul Madley-Dowd, Rachael A. Hughes, Maya B. Mathur +2
Missing data is a pervasive problem in epidemiology, with multiple imputation (MI) a commonly used analysis method. MI is valid when data are missing at random (MAR). However, defi…
stat.ME2019
Bootstrap Inference for Multiple Imputation under Uncongeniality and Misspecification
Jonathan W. Bartlett, Rachael A. Hughes
Multiple imputation has become one of the most popular approaches for handling missing data in statistical analyses. Part of this success is due to Rubin's simple combination rules…