Literature DB >> 10763559

Properties of added variable plots in Cox's regression model.

M Lindkvist1.   

Abstract

The added variable plot is useful for examining the effect of a covariate in regression models. The plot provides information regarding the inclusion of a covariate, and is useful in identifying influential observations on the parameter estimates. Hall et al. (1996) proposed a plot for Cox's proportional hazards model derived by regarding the Cox model as a generalized linear model. This paper proves and discusses properties of this plot. These properties make the plot a valuable tool in model evaluation. Quantities considered include parameter estimates, residuals, leverage, case influence measures and correspondence to previously proposed residuals and diagnostics.

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Year:  2000        PMID: 10763559     DOI: 10.1023/a:1009609916604

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


  3 in total

1.  Diagnostic plots in Cox's regression model.

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

2.  Adjusted variable plots for Cox's proportional hazards regression model.

Authors:  C B Hall; S L Zeger; K J Bandeen-Roche
Journal:  Lifetime Data Anal       Date:  1996       Impact factor: 1.588

3.  Approximate case influence for the proportional hazards regression model with censored data.

Authors:  K C Cain; N T Lange
Journal:  Biometrics       Date:  1984-06       Impact factor: 2.571

  3 in total

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