Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/59489

Case-cohort analysis of clusters of recurrent events

Authors Chen, Feng
Chen, Kani View this author's profile
Issue Date 2014
Source Lifetime Data Analysis , v. 20, (1), January 2014, p. 1-15
Summary The case-cohort sampling, first proposed in Prentice (Biometrika 73:1-11, 1986), is one of the most effective cohort designs for analysis of event occurrence, with the regression model being the typical Cox proportional hazards model. This paper extends to consider the case-cohort design for recurrent events with certain specific clustering feature, which is captured by a properly modified Cox-type self-exciting intensity model. We discuss the advantage of using this model and validate the pseudo-likelihood method. Simulation studies are presented in support of the theory. Application is illustrated with analysis of a bladder cancer data.
Subjects
ISSN 1380-7870
Language English
Format Article
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