Modeling marginal features in studies of recurrent events in the presence of a terminal event

Per Kragh Andersen (), Jules Angst and Henrik Ravn
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Per Kragh Andersen: University of Copenhagen
Jules Angst: University of Zürich
Henrik Ravn: Novo-Nordisk

Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, 2019, vol. 25, issue 4, No 6, 695 pages

Abstract: Abstract We study models for recurrent events with special emphasis on the situation where a terminal event acts as a competing risk for the recurrent events process and where there may be gaps between periods during which subjects are at risk for the recurrent event. We focus on marginal analysis of the expected number of events and show that an Aalen–Johansen type estimator proposed by Cook and Lawless is applicable in this situation. A motivating example deals with psychiatric hospital admissions where we supplement with analyses of the marginal distribution of time to the competing event and the marginal distribution of the time spent in hospital. Pseudo-observations are used for the latter purpose.

Keywords: Competing risks; Expected number of events; Intensity-based models; Marginal models; Pseudo-observations; Recurrent events (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s10985-019-09462-4

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