Abstract:
: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.
journal_name
Biometricsjournal_title
Biometricsauthors
Cong XJ,Yin G,Shen Ydoi
10.1111/j.1541-0420.2006.00730.xsubject
Has Abstractpub_date
2007-09-01 00:00:00pages
663-72issue
3eissn
0006-341Xissn
1541-0420pii
BIOM730journal_volume
63pub_type
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