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Patterns of external validity

  • E.W. Steyerberg
Chapter
Part of the Statistics for Biology and Health book series (SBH)

Background

Generalizability depends on the quality of the prediction model as developed for the development setting (internal validity), and on characteristics of the population where the model is applied (validity of regression coefficients and distribution of predictor values). The general framework of validity of predictions was discussed in Chap. 17 (see in particular Fig. 17.1). Here, we first consider a number of typical situations that we may encounter when a prediction model is applied in an external setting. Theoretical relationships are illustrated with a large sample simulation and findings in some case studies. Approximate power calculations are given for tests of invalidity of a prediction model.

Keywords

Traumatic Brain Injury Clinical Usefulness Validation Setting Testicular Cancer Validation Sample 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • E.W. Steyerberg
    • 1
  1. 1.Department of Public HealthErasmus MCRotterdamThe Netherlands

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