Translator Disclaimer
October 2001 A generalized additive regression model for survival times
Thomas H. Scheike
Ann. Statist. 29(5): 1344-1360 (October 2001). DOI: 10.1214/aos/1013203457

Abstract

We present a non-parametric survival model with two time-scales. The time-scales are equivalent up to a constant that varies over the subjects. Covariate effects are modelled linearly on each time scale by additive Aalen models. Estimators of the cumulative intensities on the two time-scales are suggested by solving approximate local maximum likelihood estimating equations. The local estimating equations necessitate only the choice of one bandwidth. The estimators are provided with large sample properties. The model is applied to data on patients with myocardial infarction, and used to describe the prognostic effect of covariates on the two time scales, time since myocardial infarction and age.

Citation

Download Citation

Thomas H. Scheike. "A generalized additive regression model for survival times." Ann. Statist. 29 (5) 1344 - 1360, October 2001. https://doi.org/10.1214/aos/1013203457

Information

Published: October 2001
First available in Project Euclid: 8 February 2002

zbMATH: 1043.62035
MathSciNet: MR1873334
Digital Object Identifier: 10.1214/aos/1013203457

Subjects:
Primary: 62N01
Secondary: 62G20, 62N02

Rights: Copyright © 2001 Institute of Mathematical Statistics

JOURNAL ARTICLE
17 PAGES


SHARE
Vol.29 • No. 5 • October 2001
Back to Top