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Synapse
May 28, 2009BMJ1,469 citations

Prognosis and prognostic research: validating a prognostic model

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DADoug AltmanYVYvonne VergouwePRPatrick Royston

Key Points

  • To emphasize the importance of validating prognostic models in different samples for clinical effectiveness.
  • Discussion of model validation techniques
  • Analysis of challenges in validating prognostic models
  • Examination of model applications in clinical scenarios.
  • Demonstrated that unvalidated models have limited clinical value.
  • Identified significant issues in model validation across diverse samples.
  • Highlighted the necessity for rigorous testing to ensure model reliability in practice.

Abstract

Prognostic models are of little clinical value unless they are shown to work in other samples. Douglas Altman and colleagues describe how to validate models and discuss some of the problems

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Cite This Study

Altman et al. (2009) studied this question. Prognostic models require validation in external samples to establish their clinical value and utility.

synapsesocial.com/papers/6a08246b113ba5b476ddfc72https://doi.org/10.1136/bmj.b605
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