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arXiv · 1911.12430

Propensity score matching for estimating a marginal hazard ratio

Tongrong Wang·Honghe Zhao·Shu Yang·Shuhan Tang·Zhanglin Cui·Li Li·Douglas E. Faries
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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.

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Tongrong Wang, Honghe Zhao, Shu Yang, Shuhan Tang, Zhanglin Cui, Li Li, Douglas E. Faries. 2019-11-27. Propensity score matching for estimating a marginal hazard ratio. https://doi.org/10.1002/sim.10103

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