Literature DB >> 9658770

A simplified method of calculating an overall goodness-of-fit test for the Cox proportional hazards model.

S May1, D W Hosmer.   

Abstract

Grønnesby and Borgan (1996) propose an overall goodness-of-fit test for the Cox proportional hazards model. The basis of their test is a grouping of subjects by their estimated risk score. We show that the Grønnesby and Borgan test is algebraically identical to one obtained from adding group indicator variables to the model and testing the hypothesis the coefficients of the group indicator variables are zero via the score test. Thus showing that the test can be calculated using existing software. We demonstrate that the table of observed and estimated expected number of events within each group of the risk score is a useful adjunct to the test to help identify potential problems in fit.

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Year:  1998        PMID: 9658770     DOI: 10.1023/a:1009612305785

Source DB:  PubMed          Journal:  Lifetime Data Anal        ISSN: 1380-7870            Impact factor:   1.588


  7 in total

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Authors:  C H Chen; P C Wang
Journal:  Biometrics       Date:  1991-09       Impact factor: 2.571

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Journal:  Biometrics       Date:  1990-12       Impact factor: 2.571

3.  Some diagnostic methods for Cox regression models through hazard smoothing.

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Journal:  Biometrics       Date:  1990-03       Impact factor: 2.571

4.  A method for checking regression models in survival analysis based on the risk score.

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Journal:  Biometrics       Date:  1996-09       Impact factor: 2.571

6.  Diagnostic plots to reveal functional form for covariates in multiplicative intensity models.

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Journal:  Biometrics       Date:  1995-12       Impact factor: 2.571

7.  Spline-based tests in survival analysis.

Authors:  R J Gray
Journal:  Biometrics       Date:  1994-09       Impact factor: 2.571

  7 in total
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2.  A cautionary note on the use of the Grønnesby and Borgan goodness-of-fit test for the Cox proportional hazards model.

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