A study of grouped failure time data and the misapplication of recurrent event modeling. Issue 7 (9th August 2017)

• Record Type: Journal Article
• Authors: Braschel, Melissa C.; Darlington, Gerarda A.; Klar, Neil
• Is Part Of: Communications in statistics. Volume 46:Issue 7(2017)
• Page Start: 5313
• Page End: 5322
• Publication Date: 2017-08-09
• Subjects: Generalized estimating equations -- Generalized linear mixed models -- Hazard ratio -- Logistic regression -- Odds ratio -- Survival analysis; 62-07 -- 62P10; Mathematical statistics -- Periodicals; Mathematical statistics -- Data processing -- Periodicals; Digital computer simulation -- Periodicals; 519.5
• DOI: 10.1080/03610918.2016.1152367
• Languages: English
• ISSNs: 0361-0918

Abstract

ABSTRACT: Clinical trials often assess whether or not subjects have a disease at predetermined follow-up times. When the response of interest is a recurrent event, a subject may respond at multiple follow-up times over the course of the study. Alternatively, when the response of interest is an irreversible event, a subject is typically only observed until the time at which the response is first detected. However, some recent studies have recorded subjects responses at follow-up times after an irreversible event is initially observed. This study compares how existing models perform when failure time data are treated as recurrent events.