title: Case-cohort analysis of clusters of recurrent events.
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.
authors.affiliation: School of Mathematics and Statistics, The University of New South Wales, Sydney, NSW, 2052, Australia, feng.chen@unsw.edu.au.
authors.forename: Feng
authors.initials: F
authors.lastname: Chen
authors.forename: Kani
authors.initials: K
authors.lastname: Chen
mesh_terms: D016000:Cluster Analysis; D015331:Cohort Studies; D003198:Computer Simulation; D006801:Humans; D016013:Likelihood Functions; D009364:Neoplasm Recurrence, Local / Q000517:prevention & control; D016016:Proportional Hazards Models; D011736:Pyridoxine / Q000494:pharmacology; D013852:Thiotepa / Q000494:pharmacology; D001749:Urinary Bladder Neoplasms / Q000188:drug therapy
chemical_list: D013852:Thiotepa; D011736:Pyridoxine