Comparison of the ability of double-robust estimators to correct bias in propensity score matching analysis. A Monte Carlo simulation study.

Tri-Long NguyenGary S CollinsJessica SpencePhilip J DevereauxJean-Pierre DaurèsPaul LandaisYannick Le Manach

Published in: Pharmacoepidemiology and drug safety (2017)

Double-adjustment can be used to remove residual confounding after propensity score matching. The unbalanced covariates with the strongest confounding effects should be adjusted.

Keyphrases

monte carlo