文章基本信息

标题：Regression analysis of incomplete data from event history studies with the proportional rates model
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作者：Yu, Guanglei ; Zhu, Liang ; Sun, Jianguo 等
期刊名称：Statistics and Its Interface
印刷版ISSN：1938-7989
电子版ISSN：1938-7997
出版年度：2017
卷号：11
期号：1
页码：91-97
DOI：10.4310/SII.2018.v11.n1.a8
语种：English
出版社：International Press
摘要：Event history studies occur in many fields including epidemiology, sociology, and medical studies. They focus on the occurrences of some events of interest on subjects over time. One special type of data arising from such studies is incomplete mixed data, which is the mixed recurrent event data and panel count data. To deal with such type of data, we propose a proportional rates model and present a multiple imputation-based estimation procedure. One advantage of the proposed marginal model approach is that it can be easily implemented. To assess the performance of the procedure, a simulation study is conducted and indicates that it performs well for practical situations and can be more efficient than the existing method. The methodology is applied to a set of mixed data from a longitudinal cohort study.
关键词：incomplete data; marginal model; multiple imputation; proportional rates model