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Updated: May 9, 2026

Automated Detection and Analysis of Exocytosis
Published on: September 11, 2021
Case-cohort analysis of clusters of recurrent events
1School of Mathematics and Statistics, The University of New South Wales, Sydney, NSW, 2052, Australia, feng.chen@unsw.edu.au.
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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