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Nonparametric tests for stratified additive hazards model based on current status data.

Authors :
Fan X
Zhao SS
Zhang Q
Sun J
Source :
Journal of applied statistics [J Appl Stat] 2019 Dec 26; Vol. 47 (12), pp. 2178-2191. Date of Electronic Publication: 2019 Dec 26 (Print Publication: 2020).
Publication Year :
2019

Abstract

Stratified regression models are commonly employed when study subjects may come from possibly different strata such as different medical centers, and for the situation, one common question of interest is to test the existence of the stratum effect. To address this, there exists some literature on the testing of the stratum effects under the framework of the proportional hazards model when one observes right-censored data or interval-censored data. In this paper, we consider the situation under the additive hazards model when one faces current status data, for which there does not seem to exist an established test procedure. The asymptotic distributions of the proposed test procedure are provided. Also a simulation study is performed to evaluate the performance of the proposed method and indicates that it works well for practical situations. The approach is applied to a set of real current status data from a tumorigenicity study.<br />Competing Interests: No potential conflict of interest was reported by the authors.<br /> (© 2019 Informa UK Limited, trading as Taylor & Francis Group.)

Details

Language :
English
ISSN :
0266-4763
Volume :
47
Issue :
12
Database :
MEDLINE
Journal :
Journal of applied statistics
Publication Type :
Academic Journal
Accession number :
35706834
Full Text :
https://doi.org/10.1080/02664763.2019.1707515