Variance estimation when using propensity-score matching with replacement with survival or time-to-event outcomes

DOI10.1002/sim.8502zbMATH Open1546.62064MaRDI QIDQ6627365

Guy Cafri, Peter C. Austin

Publication date: 29 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

matchingMonte Carlo simulationssurvival analysispropensity scoreobservational study

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• A Covariance Estimator for GEE with Improved Small‐Sample Properties
• The Robust Inference for the Cox Proportional Hazards Model
• On the Failure of the Bootstrap for Matching Estimators
• The central role of the propensity score in observational studies for causal effects
• Substantial Gains in Bias Reduction from Matching with a Variable Number of Controls
• Some Methods of Propensity‐Score Matching had Superior Performance to Others: Results of an Empirical Investigation and Monte Carlo simulations
• Large Sample Properties of Matching Estimators for Average Treatment Effects

Related Items (3)

Propensity score matching for estimating a marginal hazard ratio ⋮ Impact of the matching algorithm on the treatment effect estimate: a neutral comparison study ⋮ Using propensity scores to estimate effects of treatment initiation decisions: state of the science

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