Re-evaluation of the comparative effectiveness of bootstrap-based optimism correction methods in the development of multivariable clinical prediction models

Re-evaluation of the comparative effectiveness of bootstrap-based optimism correction methods in the development of multivariable clinical prediction models

Abstract Background Multivariable prediction models are important statistical tools for providing synthetic diagnosis and prognostic algorithms based on patients’ multiple characteristics. Their apparent measures for predictive accuracy usually have overestimation biases (known as ‘optimism’) relati...

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Bibliographic Details
Main Authors: Katsuhiro Iba, Tomohiro Shinozaki, Kazushi Maruo, Hisashi Noma
Format: Article
Language:English
Published: BMC 2021-01-01
Series:BMC Medical Research Methodology
Subjects:
Multivariable clinical prediction model
Optimism
C-statistic
Regularized estimation
Bootstrap
Online Access:https://doi.org/10.1186/s12874-020-01201-w

Internet

https://doi.org/10.1186/s12874-020-01201-w

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