A Permutation Method to Assess Heterogeneity in External Validation for Risk Prediction Models

Ling-Yi Wang and Wen-Chung Lee

PLOS ONE, 2015, vol. 10, issue 1, 1-6

Abstract: The value of a developed prediction model depends on its performance outside the development sample. The key is therefore to externally validate the model on a different but related independent data. In this study, we propose a permutation method to assess heterogeneity in external validation for risk prediction models. The permutation p value measures the extent of homology between development and validation datasets. If p

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0116957

DOI: 10.1371/journal.pone.0116957

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