Logistic Regression Model for Survival Time Analysis Using Time-Varying Coefficients. Issue 4 (1st October 2016)

• Record Type: Journal Article
• Authors: Satoh, Kenichi; Tonda, Tetsuji; Izumi, Shizue
• Is Part Of: American journal of mathematical and management sciences. Volume 35:Issue 4(2016)
• Page Start: 353
• Page End: 360
• Publication Date: 2016-10-01
• Subjects: Logistic regression model -- Newton–Raphson method -- odds ratio -- survival time analysis -- time-varying coefficient; Operations research -- Periodicals; Management science -- Periodicals; Periodicals; 658.4034
• DOI: 10.1080/01966324.2016.1215945
• Languages: English
• ISSNs: 0196-6324

Abstract

SYNOPTIC ABSTRACT: 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.