Bootstrap internal validation command for predictive logistic regression models

被引：48

作者：

Fernandez-Felix, B. M. ^{[1
]}

Garcia-Esquinas, E. ^{[2
,3
]}

Muriel, A. ^{[4
]}

Royuela, A. ^{[5
]}

Zamora, J. ^{[4
,6
]}

机构：

[1] Hosp Ramon y Cajal IRYCIS, Clin Biostat Unit, CIBER Epidemiol & Publ Hlth CIBERESP, Madrid, Spain

[2] Autonomous Univ Madrid, Dept Prevent Med & Publ Hlth, Madrid, Spain

[3] Idipaz, Madrid, Spain

[4] Hosp Ramon y Cajal IRYCIS, Clin Biostat Unit, CIBERESP, Madrid, Spain

[5] CIBERESP, Biostat Unit, Puerta de Hierro Biomed Res Inst, Madrid, Spain

[6] Univ Birmingham, Inst Metab & Syst Res, Birmingham, W Midlands, England

来源：

STATA JOURNAL | 2021年 / 21卷 / 02期

关键词：

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

D O I：

10.1177/1536867X211025836

中图分类号：

O1 [数学]; C [社会科学总论];

学科分类号：

03 ; 0303 ; 0701 ; 070101 ;

摘要：

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.

引用

页码：498 / 509

页数：12

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