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Bootstrap internal validation command for predictive logistic regression models
The Stata Journal: Promoting communications on statistics and Stata ( IF 3.2 ) Pub Date : 2021-06-29 , DOI: 10.1177/1536867x211025836
B. M. Fernandez-Felix 1 , E. García-Esquinas 2 , A. Muriel 3 , A. Royuela 4 , J. Zamora 5
Affiliation  

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.



中文翻译:

用于预测逻辑回归模型的 Bootstrap 内部验证命令

过拟合是预测模型开发中的常见问题。它导致对表观模型性能的乐观估计。使用自举技术的内部验证可以量化预测模型的乐观程度,并提供对其性能度量的更现实的估计。我们的目标是构建一个易于使用的命令bsvalidation,旨在对逻辑回归模型执行引导程序内部验证。

更新日期:2021-06-30
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