Finite-sample adjustments in variance estimators for clustered competing risks regression.
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DOI: 10.1002/sim.9375
Abstract: The marginal Fine-Gray proportional subdistribution hazards model is a popular approach to directly study the association between covariates and the cumulative incidence function with clustered competing risks data, which often arise in multicenter randomized trials… read more here.
Keywords: variance; competing risks; clustered competing; variance estimator ... See more keywords