Literature DB >> 2242414

The Cox proportional hazards model with change point: an epidemiologic application.

K Y Liang1, S G Self, X H Liu.   

Abstract

In this paper, we develop the Cox proportional hazards model with special structured time-dependent covariates in the context of prospective epidemiologic studies. Our model possesses the following two features: (i) different relative risk parameters are allowed for early versus late onset of the disease of interest; (ii) an additional parameter is introduced so that specification is not required for the time (age) at which a change of the magnitude of the relative risks takes place, the so-called change point. Some difficulties with statistical inference for the proposed model are briefly discussed, and the large-sample distribution of a test for no change point is derived. As an illustration, we apply the model to a set of data gathered on a group of white male medical students of The Johns Hopkins Medical School enrolled between 1948 and 1964. We examine the hypothesis that the effect of reactivity to the cold pressor test may vary with early versus late onset of hypertension.

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Year:  1990        PMID: 2242414

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  15 in total

1.  A Cox-type regression model with change-points in the covariates.

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3.  Time-Varying Effects of Breast Cancer Adjuvant Systemic Therapy.

Authors:  Ismail Jatoi; Hanna Bandos; Jong-Hyeon Jeong; William F Anderson; Edward H Romond; Eleftherios P Mamounas; Norman Wolmark
Journal:  J Natl Cancer Inst       Date:  2015-10-30       Impact factor: 13.506

4.  Change-Plane Analysis for Subgroup Detection and Sample Size Calculation.

Authors:  Ailin Fan; Rui Song; Wenbin Lu
Journal:  J Am Stat Assoc       Date:  2017-04-13       Impact factor: 5.033

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Journal:  Stat Med       Date:  2017-07-31       Impact factor: 2.373

6.  Modelling population-based cancer survival trends using join point models for grouped survival data.

Authors:  Binbing Yu; Lan Huang; Ram C Tiwari; Eric J Feuer; Karen A Johnson
Journal:  J R Stat Soc Ser A Stat Soc       Date:  2009-04       Impact factor: 2.483

7.  Bootstrapping a change-point Cox model for survival data.

Authors:  Gongjun Xu; Bodhisattva Sen; Zhiliang Ying
Journal:  Electron J Stat       Date:  2014-08-20       Impact factor: 1.125

8.  Bayesian random threshold estimation in a Cox proportional hazards cure model.

Authors:  Lili Zhao; Dai Feng; Emily L Bellile; Jeremy M G Taylor
Journal:  Stat Med       Date:  2013-09-06       Impact factor: 2.373

9.  Using Medicare Claims to Examine Long-term Prostate Cancer Risk of Finasteride in the Prostate Cancer Prevention Trial.

Authors:  Joseph M Unger; Dawn L Hershman; Cathee Till; Catherine M Tangen; William E Barlow; Scott D Ramsey; Phyllis J Goodman; Ian M Thompson
Journal:  J Natl Cancer Inst       Date:  2018-11-01       Impact factor: 13.506

10.  Temperament as a potential predictor of mortality: evidence from a 41-year prospective study.

Authors:  P L Graves; L A Mead; N Y Wang; K Y Liang; M J Klag
Journal:  J Behav Med       Date:  1994-04
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