Literature DB >> 35706471

Estimation of the cumulative baseline hazard function for dependently right-censored failure time data.

Antai Wang1, Xieyang Jia2, Zhezhen Jin3.   

Abstract

In this paper, we study the properties of a special class of frailty models when the frailty is common to several failure times. The models are closely linked to Archimedean copula models. We establish a useful formula for cumulative baseline hazard functions and develop a new estimator for cumulative baseline hazard functions in bivariate frailty regression models. Based on our proposed estimator, we present a graphical model checking procedure. We fit a leukemia data set using our model and end our paper with some discussions.
© 2020 Informa UK Limited, trading as Taylor & Francis Group.

Entities:  

Keywords:  Archimedean copula models; bivariate frailty models; cumulative hazard functions; survival analysis

Year:  2020        PMID: 35706471      PMCID: PMC9041594          DOI: 10.1080/02664763.2020.1795818

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


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1.  Parametric analysis for matched pair survival data.

Authors:  A K Manatunga; D Oakes
Journal:  Lifetime Data Anal       Date:  1999-12       Impact factor: 1.588

2.  A frailty model for informative censoring.

Authors:  Xuelin Huang; Robert A Wolfe
Journal:  Biometrics       Date:  2002-09       Impact factor: 2.571

Review 3.  On the Breslow estimator.

Authors:  D Y Lin
Journal:  Lifetime Data Anal       Date:  2007-09-02       Impact factor: 1.588

4.  Regression survival analysis with an assumed copula for dependent censoring: a sensitivity analysis approach.

Authors:  Xuelin Huang; Nan Zhang
Journal:  Biometrics       Date:  2008-02-11       Impact factor: 2.571

  4 in total

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