Literature DB >> 35706834

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

Xiaodong Fan1,2, Shi-Shun Zhao1, Qingchun Zhang1,2, Jianguo Sun3.   

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.
© 2019 Informa UK Limited, trading as Taylor & Francis Group.

Entities:  

Keywords:  Additive hazards model; current status data; informative censoring

Year:  2019        PMID: 35706834      PMCID: PMC9041712          DOI: 10.1080/02664763.2019.1707515

Source DB:  PubMed          Journal:  J Appl Stat        ISSN: 0266-4763            Impact factor:   1.416


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4.  Analysis of a nonsusceptible fraction with current status data.

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5.  Analysing panel count data with informative observation times.

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6.  Regression analysis of current status data with auxiliary covariates and informative observation times.

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7.  Regression analysis of informative current status data with the additive hazards model.

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8.  Covariance analysis of censored survival data.

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  8 in total

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