Literature DB >> 15180659

Erosion of regression effect in a survival study.

John O'Quigley1, Loki Natarajan.   

Abstract

Lack of persistence, or erosion, of the regression effect is an alternative to proportional hazards of particular interest in many medical applications. Such a departure from proportional hazards is often the most likely direction in which the model may be inadequate. Questions such as, is the effect of treatment only transitory or to what extent does an initially measured prognostic variable maintain its impact, frequently arise. In the context of a simple changepoint model, we propose a test of the null hypothesis of proportional hazards against the specific alternative of erosion of the regression effect. The particular changepoint model used can be viewed as a first approximation to a more complex reality, an approximation that enables us to avoid specifically modeling the functional form that any erosion might take. Practical guidelines for carrying out the test are provided. The approach is illustrated in the context of a study on risk factors for breast cancer survival.

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Year:  2004        PMID: 15180659     DOI: 10.1111/j.0006-341X.2004.00178.x

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


  2 in total

1.  Change over time of mortality predictors after HAART initiation in a Senegalese cohort.

Authors:  Pierre De Beaudrap; Jean-François Etard; René Ecochard; Assane Diouf; Allé Baba Dieng; Vannina Cilote; Ibrahima Ndiaye; Ndèye Fatou Ngom Guèye; Pape Mandoumbé Guèye; Papa Salif Sow; Souleymane Mboup; Ibra Ndoye; Eric Delaporte
Journal:  Eur J Epidemiol       Date:  2008-01-16       Impact factor: 8.082

2.  Time-varying effects of prognostic factors associated with disease-free survival in breast cancer.

Authors:  Loki Natarajan; Minya Pu; Barbara A Parker; Cynthia A Thomson; Bette J Caan; Shirley W Flatt; Lisa Madlensky; Richard A Hajek; Wael K Al-Delaimy; Nazmus Saquib; Ellen B Gold; John P Pierce
Journal:  Am J Epidemiol       Date:  2009-04-29       Impact factor: 4.897

  2 in total

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