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

被引:0
|
作者
Braschel, Melissa C. [1 ]
Darlington, Gerarda A. [1 ]
Klar, Neil [2 ]
机构
[1] Univ Guelph, Dept Math & Stat, Guelph, ON N1G 2W1, Canada
[2] Western Univ, Dept Epidemiol & Biostat, London, ON, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Generalized estimating equations; Generalized linear mixed models; Hazard ratio; Logistic regression; Odds ratio; Survival analysis; ARTHRITIS; PREDICTION;
D O I
10.1080/03610918.2016.1152367
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
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.
引用
收藏
页码:5313 / 5322
页数:10
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