A study of grouped failure time data and the misapplication of recurrent event modeling

Autor:	Neil Klar, Melissa C. Braschel, Gerarda Darlington
Rok vydání:	2017
Předmět:	030203 arthritis & rheumatology Statistics and Probability Recurrent event 03 medical and health sciences 0302 clinical medicine Modeling and Simulation Hazard ratio Statistics 030212 general & internal medicine Time data Survival analysis Mathematics Event (probability theory)
Zdroj:	Communications in Statistics - Simulation and Computation. 46:5313-5322
ISSN:	1532-4141 0361-0918
DOI:	10.1080/03610918.2016.1152367
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7defd4c830c94d2489cd6a2ce47acbca https://doi.org/10.1080/03610918.2016.1152367 Zobrazit plný text záznamu