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Diagnostic plots in Cox's regression model

  • C. H. Chen
  • , P. C. Wang
  • Academia Sinica - Institute of Statistical Science

Research output: Contribution to journalJournal Article peer-review

28 Scopus citations

Abstract

Two diagnostic plots are presented for validating the fitting of a Cox proportional hazards model. The added variable plot is developed to assess the effect of adding a covariate to the model. The constructed variable plot is applied to detect nonlinearity of a fitted covariate. Both plots are also useful for identifying influential observations on the issues of interest. The methods are illustrated on examples of multiple myeloma and lung cancer data.

Original languageEnglish
Pages (from-to)841-850
Number of pages10
JournalBiometrics
Volume47
Issue number3
DOIs
StatePublished - 1991
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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