Literature DB >> 16319233

Individual survival time prediction using statistical models.

R Henderson1, N Keiding.   

Abstract

Doctors' survival predictions for terminally ill patients have been shown to be inaccurate and there has been an argument for less guesswork and more use of carefully constructed statistical indices. As statisticians, the authors are less confident in the predictive value of statistical models and indices for individual survival times. This paper discusses and illustrates a variety of measures which can be used to summarise predictive information available from a statistical model. The authors argue that models and statistical indices can be useful at the group or population level, but that human survival is so uncertain that even the best statistical analysis cannot provide single-number predictions of real use for individual patients.

Entities:  

Keywords:  Death and Euthanasia

Mesh:

Year:  2005        PMID: 16319233      PMCID: PMC1734073          DOI: 10.1136/jme.2005.012427

Source DB:  PubMed          Journal:  J Med Ethics        ISSN: 0306-6800            Impact factor:   2.903


  7 in total

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5.  Extent and determinants of error in doctors' prognoses in terminally ill patients: prospective cohort study.

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Journal:  BMJ       Date:  2000-02-19

6.  Prognosis in lung cancer: physicians' opinions compared with outcome and a predictive model.

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Journal:  Stat Med       Date:  2000-02-29       Impact factor: 2.373

  7 in total
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9.  Conceptual problems in laypersons' understanding of individualized cancer risk: a qualitative study.

Authors:  Paul K J Han; Thomas C Lehman; Holly Massett; Simon J C Lee; William M P Klein; Andrew N Freedman
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10.  Decision making in advanced heart failure: a scientific statement from the American Heart Association.

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Journal:  Circulation       Date:  2012-03-05       Impact factor: 29.690

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