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MARGINAL ANALYSIS OF RECURRENT EVENTS AND A TERMINATING EVENT
Author(s) -
COOK RICHARD J.,
LAWLESS JERALD F.
Publication year - 1997
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/(sici)1097-0258(19970430)16:8<911::aid-sim544>3.0.co;2-i
Subject(s) - covariate , censoring (clinical trials) , event (particle physics) , computer science , statistics , medicine , econometrics , mathematics , machine learning , physics , quantum mechanics
Chronic medical conditions are often manifested by the incidence of recurrent adverse clinical events. In clinical trials designed to investigate therapeutic interventions for such conditions it is natural to make treatment comparisons on the basis of event occurrence. However, when there is a more serious, possibly related, event that terminates the occurrence of the recurrent events, the problem of dependent censoring arises. Here, we consider robust modelling strategies for expressing covariate effects on the recurrent event process that address the possible dependence between the recurrent and terminal events. The various methods differ in the way the dependence is addressed, and hence in the interpretation of covariate effects. The methods are applied to a data set from a kidney transplant study and simulated data chosen for illustrative purposes. © 1997 by John Wiley & Sons, Ltd. Stat. Med., Vol. 16, 911–924 (1996).