Bootstrap internal validation command for predictive logistic regression models

• Autores: B. M. Fernández Félix, E. García Esquinas, A. Muriel, A. Royuela, J. Zamora
• Localización: The Stata journal, ISSN 1536-867X, Vol. 21, Nº. 2, 2021, págs. 498-509
• Idioma: inglés
• DOI: 10.1177/1536867X211025836
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• Resumen

  • 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 toperform a bootstrap internal validation of a logistic regression model.