Link-Based Models for Survival Data with Interval and Continuous Time Censoring

Publication Description
We present a flexible family of link-based regression models with time-independent (baseline) covariates. Particular choices of the link function yield a proportional hazard or a proportional odds model, among others. The background hazard function in the model is estimated using B-splines. This yields a full likelihood under both continuous time and random interval censoring. Residuals for influence and goodness-of-fit are described. Two examples are shown, one in continuous time and the other under interval censoring.

Primary Author
Naji Younes
John Lachin

Volume
53

Issue
4

Start Page
1199

Other Pages
1211

Publisher
International Biometric Society

URL
https://www.jstor.org/stable/2533490



Reference Type
Journal Article

Periodical Full
Biometrics

Publication Year
1997

Publication Date
Dec 1,

ISSN/ISBN
0006-341X

Document Object Index
10.2307/2533490