期刊
BIOMETRICS
卷 63, 期 3, 页码 663-672出版社
WILEY
DOI: 10.1111/j.1541-0420.2006.00730.x
关键词
correlated failure time; multivariate survival analysis; weighted score function; within-cluster; resampling
资金
- NCI NIH HHS [R01 CA79466] Funding Source: Medline
We consider modeling correlated survival data when cluster sizes may be informative to the outcome of interest based on a within-cluster resampling (WCR) approach and a weighted score function (WSF) method. We derive the large sample properties for the WCR estimators under the Cox proportional hazards model. We establish consistency and asymptotic normality of the regression coefficient estimators, and the weak convergence property of the estimated baseline cumulative hazard function. The WSF method is to incorporate the inverse of cluster sizes as weights in the score function. We conduct simulation studies to assess and compare the finite-sample behaviors of the estimators and apply the proposed methods to a dental study as an illustration.
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