Confidence intervals of prediction accuracy measures for multivariable prediction models based on the bootstrap‐based optimism correction methods

In assessing prediction accuracy of multivariable prediction models, optimism corrections are essential for preventing biased results. However, in most published papers of clinical prediction models, the point estimates of the prediction accuracy measures are corrected by adequate bootstrap‐based co...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Statistics in medicine 2021-11, Vol.40 (26), p.5691-5701
Hauptverfasser:	Noma, Hisashi, Shinozaki, Tomohiro, Iba, Katsuhiro, Teramukai, Satoshi, Furukawa, Toshi A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Bias bootstrap confidence interval Confidence intervals discrimination and calibration multivariable prediction model Optimism
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!