Propensity‐score matching with competing risks in survival analysis

Propensity‐score matching is a popular analytic method to remove the effects of confounding due to measured baseline covariates when using observational data to estimate the effects of treatment. Time‐to‐event outcomes are common in medical research. Competing risks are outcomes whose occurrence pre...

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Veröffentlicht in:	Statistics in medicine 2019-02, Vol.38 (5), p.751-777
Hauptverfasser:	Austin, Peter C., Fine, Jason P.
Format:	Artikel
Sprache:	eng
Schlagworte:	competing risk Computer Simulation cumulative incidence function Humans Hydroxymethylglutaryl-CoA Reductase Inhibitors - adverse effects Hydroxymethylglutaryl-CoA Reductase Inhibitors - therapeutic use matching Monte Carlo Method Monte Carlo simulations Myocardial Infarction - drug therapy Myocardial Infarction - mortality Patient Discharge - statistics & numerical data Propensity Score propensity score matching Research Design Risk Survival Analysis
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