stat.ME
Assessing treatment effects in observational data with missing confounders: A comparative study of practical doubly-robust and traditional missing data methods
Brian D. Williamson Chloe Krakauer Eric Johnson Susan Gruber Bryan E. Shepherd Mark J. van der Laan Thomas Lumley Hana Lee Jose J. Hernandez Munoz Fengyu Zhao Sarah K. Dutcher Rishi Desai Gregory E. Simon Susan M. Shortreed Jennifer C. Nelson Pamela A. Shaw