Propensity score matching for estimating a marginal hazard ratio
Methodology
2024-12-24 v4
Abstract
Propensity score matching is commonly used to draw causal inference from observational survival data. However, its asymptotic properties have yet to be established, and variance estimation is still open to debate. We derive the statistical properties of the propensity score matching estimator of the marginal causal hazard ratio based on matching with replacement and a fixed number of matches. We also propose a double-resampling technique for variance estimation that takes into account the uncertainty due to propensity score estimation prior to matching.
Cite
@article{arxiv.1911.12430,
title = {Propensity score matching for estimating a marginal hazard ratio},
author = {Tongrong Wang and Honghe Zhao and Shu Yang and Shuhan Tang and Zhanglin Cui and Li Li and Douglas E. Faries},
journal= {arXiv preprint arXiv:1911.12430},
year = {2024}
}