Propensity-score matching with competing risks in survival analysis
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Publication:6625679
DOI10.1002/SIM.8008zbMATH Open1545.62219WikidataQ57805871 ScholiaQ57805871MaRDI QIDQ6625679
Peter C. Austin, Jason P. Fine
Publication date: 28 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
matchingMonte Carlo simulationssurvival analysiscumulative incidence functionpropensity score matchingpropensity scorecompeting risk
Cites Work
- Competing Risks Regression for Stratified Data
- Competing risks regression for clustered data
- A class of k-sample tests for comparing the cumulative incidence of a competing risk
- Plasmode simulation for the evaluation of pharmacoepidemiologic methods in complex healthcare databases
- Competing Risks and Multistate Models with R
- Matched Sampling for Causal Effects
- The central role of the propensity score in observational studies for causal effects
- Biased estimates of treatment effect in randomized experiments with nonlinear regressions and omitted covariates
- A Proportional Hazards Model for the Subdistribution of a Competing Risk
- Some Methods of Propensity‐Score Matching had Superior Performance to Others: Results of an Empirical Investigation and Monte Carlo simulations
- Type I error rates, coverage of confidence intervals, and variance estimation in propensity-score matched analyses
- A tutorial on methods to estimating clinically and policy-meaningful measures of treatment effects in prospective observational studies: a review
Related Items (2)
Censored imputation of time to event outcome through survival proximity score method ⋮ Estimation and modeling of the restricted mean time lost in the presence of competing risks
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