Abstract:
:In this article, we study nonparametric estimation of the mean function of a counting process with panel observations. We introduce the gamma frailty variable to account for the intracorrelation between the panel counts of the counting process and construct a maximum pseudo-likelihood estimate with the frailty variable. Three simulated examples are given to show that this estimation procedure, while preserving the robustness and simplicity of the computation, improves the efficiency of the nonparametric maximum pseudo-likelihood estimate studied in Wellner and Zhang (2000, Annals of Statistics 28, 779-814). A real example from a bladder tumor study is used to illustrate the method.
journal_name
Biometricsjournal_title
Biometricsauthors
Zhang Y,Jamshidian Mdoi
10.1111/j.0006-341x.2003.00126.xsubject
Has Abstractpub_date
2003-12-01 00:00:00pages
1099-106issue
4eissn
0006-341Xissn
1541-0420journal_volume
59pub_type
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