2 papers
stat.ME2020
Confidence intervals of prediction accuracy measures for multivariable prediction models based on the bootstrap-based optimism correction methods
Hisashi Noma, Tomohiro Shinozaki, Katsuhiro Iba +2
In assessing prediction accuracy of multivariable prediction models, optimism corrections are essential for preventing biased results. However, in most published papers of clinical…
stat.AP2020
Re-evaluation of the comparative effectiveness of bootstrap-based optimism correction methods in the development of multivariable clinical prediction models
Katsuhiro Iba, Tomohiro Shinozaki, Kazushi Maruo +1
Multivariable predictive models are important statistical tools for providing synthetic diagnosis and prognostic algorithms based on multiple patients' characteristics. Their appar…