期刊
BIOSTATISTICS
卷 13, 期 3, 页码 371-383出版社
OXFORD UNIV PRESS
DOI: 10.1093/biostatistics/kxr032
关键词
Clustered; Competing risk; Hazard of subdistribution; Marginal model; Martingale; Multivariate; Partial likelihood
资金
- National Institutes of Health (NIH)/National Cancer Institute (NCI) [1R01 CA94893-02]
A population average regression model is proposed to assess the marginal effects of covariates on the cumulative incidence function when there is dependence across individuals within a cluster in the competing risks setting. This method extends the Fine-Gray proportional hazards model for the subdistribution to situations, where individuals within a cluster may be correlated due to unobserved shared factors. Estimators of the regression parameters in the marginal model are developed under an independence working assumption where the correlation across individuals within a cluster is completely unspecified. The estimators are consistent and asymptotically normal, and variance estimation may be achieved without specifying the form of the dependence across individuals. A simulation study evidences that the inferential procedures perform well with realistic sample sizes. The practical utility of the methods is illustrated with data from the European Bone Marrow Transplant Registry.
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