Logistic regression model for survival time analysis using time-varying coefficients

被引：1
|
作者：
Satoh K. [1 ]
Tonda T. [2 ]
Izumi S. [3 ]
机构：
[1] Research Institute for Radiation Biology and Medicine, Hiroshima University, Minami-ku, Hiroshima
[2] Faculty of Management and Information Systems, Prefectural University of Hiroshima, Minami-ku, Hiroshima
[3] Center for Data Science Education and Research, Shiga University, Hikone, Shiga
来源：
Satoh, Kenichi (ksatoh@hiroshima-u.ac.jp) | 1600年 / Taylor and Francis Ltd.卷 / 35期
基金：
日本学术振兴会;
关键词：
Logistic regression model; Newton-Raphson method; Odds ratio; Survival time analysis; Time-varying coefficient;
D O I：
10.1080/01966324.2016.1215945
中图分类号：
学科分类号：
摘要：
In epidemiological studies, odds ratios are widely used for quantifying the relative risk. The odds ratio can be estimated from background factors, using logistic regression. In this article, a logistic regression model for the survival time, using time-varying coefficients is proposed, and statistical inference is conducted using the Newton-Raphson method and simultaneous confidence intervals. Numerical examples and simulation studies demonstrate that the proposed model can be used to obtain the odds ratio in survival time analysis. © 2016 Taylor & Francis Group, LLC.
引用
收藏
页码：353 / 360
页数：7
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