Literature DB >> 7754264

Problems and prediction in survival-data analysis.

R Henderson1.   

Abstract

Twenty-one years after its appearance, Cox's 1972 paper on 'Regression models and life tables' continues to be one of the most frequently cited publications in the scientific and medical literature. The proportional-hazards model and partial-likelihood technique have been applied to thousands of data sets, not always appropriately, and have motivated hundreds of theoretical studies, not always relevant. Recent developments are reviewed and continuing problems discussed, especially with respect to predictive inference. The accuracy of model-based predictions, and how they compare with consultants' judgements are investigated by means of an example.

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Year:  1995        PMID: 7754264     DOI: 10.1002/sim.4780140208

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


  7 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.  Comparing two correlated C indices with right-censored survival outcome: a one-shot nonparametric approach.

Authors:  Le Kang; Weijie Chen; Nicholas A Petrick; Brandon D Gallas
Journal:  Stat Med       Date:  2014-11-17       Impact factor: 2.373

3.  A measure of explained risk in the proportional hazards model.

Authors:  Glenn Heller
Journal:  Biostatistics       Date:  2011-12-21       Impact factor: 5.899

4.  Explained variation and predictive accuracy in general parametric statistical models: the role of model misspecification.

Authors:  Susanne Rosthøj; Niels Keiding
Journal:  Lifetime Data Anal       Date:  2004-12       Impact factor: 1.588

5.  Measures of explained variation for a regression model used in survival analysis.

Authors:  K Akazawa
Journal:  J Med Syst       Date:  1997-08       Impact factor: 4.460

6.  Modelling conditional distributions in bivariate survival.

Authors:  R Henderson
Journal:  Lifetime Data Anal       Date:  1996       Impact factor: 1.588

7.  Assessing the accuracy of predictive models with interval-censored data.

Authors:  Ying Wu; Richard J Cook
Journal:  Biostatistics       Date:  2022-01-13       Impact factor: 5.899

  7 in total

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