CareLit Fachartikel
Accuracy estimation after model selection using bootstrapping: An application to clinical data
Schöpe, J.; Bekhit, A.; Wagenpfeil, G.; Schneider, A.; Wagenpfeil, S. · Das Gesundheitswesen · 2017 · Heft 8/09 · S. 1 bis 1
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574365
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Jahr
2017
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Zusammenfassung
Background: Predictive modeling in conjunction with model selection are commonly used in clinical research. However, uncertainty arising from model selection is not incorporated in classical theory of statistical inference. Accounting for model selection in statistical inference, Efron1 recently developed a formula to approximate standard errors of smoothed estimators derived from bagging2. Therefore, the primary aim of this study was to implement and evaluate Efron's approach in R with an application to clinical data. Methods: Clinical data was obtained from a previously published study3, which was designed to…
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Asthma
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Das Gesundheitswesen
