Bootstrap internal validation command for predictive logistic regression models

B. M. Fernandez-Felix, E. García-Esquinas, A. Muriel, A. Royuela, J. Zamora

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Overfitting is a common problem in the development of predictive models. It leads to an optimistic estimation of apparent model performance. Internal validation using bootstrapping techniques allows one to quantify the optimism of a predictive model and provide a more realistic estimate of its performance measures. Our objective is to build an easy-to-use command, bsvalidation, aimed to perform a bootstrap internal validation of a logistic regression model.

Original languageEnglish
Pages (from-to)498-509
Number of pages12
JournalStata Journal
Volume21
Issue number2
DOIs
Publication statusPublished - 29 Jun 2021

Bibliographical note

Publisher Copyright:
© StataCorp LLC 2021.

Keywords

  • bootstrap
  • bsvalidation
  • internal validation
  • logistic
  • logit
  • performance
  • predictive model
  • st0644

ASJC Scopus subject areas

  • Mathematics (miscellaneous)

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