Premium
Evolution of recurrent asthma event rate over time in frailty models
Author(s) -
Duchateau Luc,
Janssen Paul,
Kezic Iva,
Fortpied Catherine
Publication year - 2003
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.1111/1467-9876.00409
Subject(s) - event (particle physics) , rate function , parametric statistics , interpretation (philosophy) , parametric model , event data , computer science , statistics , mathematics , machine learning , physics , large deviations theory , covariate , quantum mechanics , programming language
Summary. To model the time evolution of the event rate in recurrent event data a crucial role is played by the timescale that is used. Depending on the timescale selected the interpretation of the time evolution will be entirely different, both in parametric and semiparametric frailty models. The gap timescale is more appropriate when studying the recurrent event rate as a function of time since the last event, whereas the calendar timescale keeps track of actual time. We show both timescales in action on data from an asthma prevention trial in young children. The frailty model is further extended to include both timescales simultaneously as this might be most relevant in practice.