Taiwanese Journal of Mathematics
- Taiwanese J. Math.
- Volume 23, Number 2 (2019), 293-305.
A Survey of Threshold Regression for Time-to-event Analysis and Applications
In analyzing time-to-event data, proportional hazards (PH) regression is an ubiquitous model used in many fields. PH regression, however, requires a strong assumption that is not always appropriate. Threshold regression (TR) is one of the alternative models. A first-hitting-time (FHT) survival model postulates a health status process for a patient that gradually declines until the patient dies when the health level first reaches a critical threshold. In this article, we review the development of threshold regression models and their applications.
Taiwanese J. Math., Volume 23, Number 2 (2019), 293-305.
Received: 7 May 2018
Accepted: 20 December 2018
First available in Project Euclid: 25 January 2019
Permanent link to this document
Digital Object Identifier
Mathematical Reviews number (MathSciNet)
Lee, Mei-Ling Ting. A Survey of Threshold Regression for Time-to-event Analysis and Applications. Taiwanese J. Math. 23 (2019), no. 2, 293--305. doi:10.11650/tjm/190107. https://projecteuclid.org/euclid.twjm/1548406820