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Lifetime Data Analysis

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01.01.2014

Case-cohort analysis of clusters of recurrent events

verfasst von: Feng Chen, Kani Chen

Erschienen in: Lifetime Data Analysis | Ausgabe 1/2014

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Abstract

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.

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Titel: Case-cohort analysis of clusters of recurrent events
verfasst von: Feng Chen
Kani Chen
Publikationsdatum: 01.01.2014
Verlag: Springer US
Erschienen in: Lifetime Data Analysis / Ausgabe 1/2014
Print ISSN: 1380-7870
Elektronische ISSN: 1572-9249
DOI: https://doi.org/10.1007/s10985-013-9275-3

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