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Repeated events and total time on test
Author(s) -
Kvist Kajsa,
Andersen Per Kragh,
Angst Jules,
Kessing Lars Vedel
Publication year - 2008
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/sim.3270
Subject(s) - danish , proportional hazards model , econometrics , event (particle physics) , statistics , test (biology) , monotone polygon , regression , term (time) , computer science , mathematics , paleontology , philosophy , linguistics , physics , quantum mechanics , biology , geometry
We adopt the total time on test procedure to investigate monotone time trends in the intensity in a repeated event setting. The correct model is assumed to be a proportional hazards model, with a random effect to account for dependence within subjects. The method offers a simple routine for testing relevant hypotheses for recurrent event processes, without making distributional assumptions about the frailty. Such assumptions may severely affect conclusions concerning regression coefficients and cause bias in the estimated heterogeneity. The method is illustrated by re‐analyzing Danish registry data and a long‐term Swiss clinical study on recurrence in affective disorder. Copyright © 2008 John Wiley & Sons, Ltd.