3 papers
stat.ME2026
Comparing Imputation Methods for Clinical Prediction Model Development under Complex Missingness Scenarios: A Simulation Study Using Real-World Cardiac Data
Pakpoom Wongyikul, Noraworn Jirattikanwong, Natthanaphop Isaradech +4
Evidence remains limited on how missing-data strategies affect the stability of clinical prediction models across different predictor-outcome relationships and degrees of missingne…
stat.ME2026
A repeated k-fold cross-validation approach for evaluating the instability of clinical prediction models: an empirical comparison to the bootstrap approach
Nop Khongthon, Pakpoom Wongyikul, Noraworn Jirattikanwong +6
Bootstrap-based methods have been recommended for assessing prediction instability in clinical prediction models, but their performance relative to cross-validation (CV) remains un…
stat.ME2026
Class Imbalance Corrections Failed to Enhance Discrimination, Model Calibration, and Prediction Stability: An Empirical Simulation Study Based on Clinical Dataset
Wachiranun Sirikul, Natthanaphop Isaradech, Wuttipat Kiratipaisarl +3
Class imbalance is common when developing clinical prediction models (CPMs) and is often assumed to lead to poor predictive performance. Several methods have been proposed to corre…