Bootstrap internal validation command for predictive logistic regression models

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

doi:10.1177/1536867X211025836

Bootstrap internal validation command for predictive logistic regression models

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

Metabolism and Systems Science

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

545 Downloads (Pure)

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 language	English
Pages (from-to)	498-509
Number of pages	12
Journal	Stata Journal
Volume	21
Issue number	2
DOIs	https://doi.org/10.1177/1536867X211025836
Publication status	Published - 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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10.1177/1536867X211025836Licence: None: All rights reserved

Fernandez-FelixB2021Bootstrap_submitted
Final published version: Fernandez-Felix, B. M., García-Esquinas, E., Muriel, A., Royuela, A., & Zamora, J. (2021). Bootstrap internal validation command for predictive logistic regression models. The Stata Journal, 21(2), 498-509. © StataCorp LLC 2021. https://doi.org/10.1177/1536867X211025836
Submitted manuscript, 400 KBLicence: Creative Commons: Attribution-NoDerivs (CC BY-ND)

Cite this

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AU - Muriel, A.

AU - Royuela, A.

AU - Zamora, J.

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Bootstrap internal validation command for predictive logistic regression models

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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