The gamma-frailty Poisson model for the nonparametric estimation of panel count data.

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

Biometrics

journal_title

Biometrics

authors

Zhang Y,Jamshidian M

doi

10.1111/j.0006-341x.2003.00126.x

subject

Has Abstract

pub_date

2003-12-01 00:00:00

pages

1099-106

issue

4

eissn

0006-341X

issn

1541-0420

journal_volume

59

pub_type

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