Literature DB >> 2672226

Bootstrap investigation of the stability of a Cox regression model.

D G Altman1, P K Andersen.   

Abstract

We describe a bootstrap investigation of the stability of a Cox proportional hazards regression model resulting from the analysis of a clinical trial of azathioprine versus placebo in patients with primary biliary cirrhosis. We have considered stability to refer both to the choice of variables included in the model and, more importantly, to the predictive ability of the model. In stepwise Cox regression analyses of 100 bootstrap samples using 17 candidate variables, the most frequently selected variables were those selected in the original analysis, and no other important variable was identified. Thus there was no reason to doubt the model obtained in the original analysis. For each patient in the trial, bootstrap confidence intervals were constructed for the estimated probability of surviving two years. It is shown graphically that these intervals are markedly wider than those obtained from the original model.

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Year:  1989        PMID: 2672226     DOI: 10.1002/sim.4780080702

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  50 in total

1.  Identification of responders to a therapy: an example of validation of a predictive model.

Authors:  W Li; J P Boissel; M Cucherat; F Gueyffier; F Boutitie
Journal:  Eur J Epidemiol       Date:  1999-07       Impact factor: 8.082

2.  Automated detection of informative combined effects in genetic association studies of complex traits.

Authors:  Nadia Tahri-Daizadeh; David-Alexandre Tregouet; Viviane Nicaud; Nicolas Manuel; François Cambien; Laurence Tiret
Journal:  Genome Res       Date:  2003-08       Impact factor: 9.043

3.  Bootstrap investigation of the stability of disease mapping of Bayesian cancer relative risk estimations.

Authors:  Marc Colonna
Journal:  Eur J Epidemiol       Date:  2004       Impact factor: 8.082

4.  Assessment of vibration of effects due to model specification can demonstrate the instability of observational associations.

Authors:  Chirag J Patel; Belinda Burford; John P A Ioannidis
Journal:  J Clin Epidemiol       Date:  2015-06-06       Impact factor: 6.437

5.  Non-Bayesian knowledge propagation using model-based analysis of data from multiple clinical studies.

Authors:  Jakob Ribbing; Andrew C Hooker; E Niclas Jonsson
Journal:  J Pharmacokinet Pharmacodyn       Date:  2007-11-08       Impact factor: 2.745

6.  Reducing bias in parameter estimates from stepwise regression in proportional hazards regression with right-censored data.

Authors:  Chang-Heok Soh; David P Harrington; Alan M Zaslavsky
Journal:  Lifetime Data Anal       Date:  2008-01-13       Impact factor: 1.588

7.  Combined analysis of O6-methylguanine-DNA methyltransferase protein expression and promoter methylation provides optimized prognostication of glioblastoma outcome.

Authors:  Shadi Lalezari; Arthur P Chou; Anh Tran; Orestes E Solis; Negar Khanlou; Weidong Chen; Sichen Li; Jose A Carrillo; Reshmi Chowdhury; Julia Selfridge; Desiree E Sanchez; Ryan W Wilson; Mira Zurayk; Jonathan Lalezari; Jerry J Lou; Laurel Ormiston; Karen Ancheta; Robert Hanna; Paul Miller; David Piccioni; Benjamin M Ellingson; Colin Buchanan; Paul S Mischel; Phioanh L Nghiemphu; Richard Green; He-Jing Wang; Whitney B Pope; Linda M Liau; Robert M Elashoff; Timothy F Cloughesy; William H Yong; Albert Lai
Journal:  Neuro Oncol       Date:  2013-01-17       Impact factor: 12.300

8.  Human TERT promoter mutation enables survival advantage from MGMT promoter methylation in IDH1 wild-type primary glioblastoma treated by standard chemoradiotherapy.

Authors:  HuyTram N Nguyen; Amy Lie; Tie Li; Reshmi Chowdhury; Fei Liu; Byram Ozer; Bowen Wei; Richard M Green; Benjamin M Ellingson; He-Jing Wang; Robert Elashoff; Linda M Liau; William H Yong; Phioanh L Nghiemphu; Timothy Cloughesy; Albert Lai
Journal:  Neuro Oncol       Date:  2017-03-01       Impact factor: 12.300

9.  Can we predict daily adherence to warfarin?: Results from the International Normalized Ratio Adherence and Genetics (IN-RANGE) Study.

Authors:  Alec B Platt; A Russell Localio; Colleen M Brensinger; Dean G Cruess; Jason D Christie; Robert Gross; Catherine S Parker; Maureen Price; Joshua P Metlay; Abigail Cohen; Craig W Newcomb; Brian L Strom; Mitchell S Laskin; Stephen E Kimmel
Journal:  Chest       Date:  2009-11-10       Impact factor: 9.410

10.  Prognostic models for predicting death after hepatectomy in individuals with hepatic metastases from colorectal cancer.

Authors:  Yukihide Kanemitsu; Tomoyuki Kato
Journal:  World J Surg       Date:  2008-06       Impact factor: 3.352

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