Methodologic Issues Specific to Prediction Model Development and Evaluation

作     者：Jin, Yuxuan Kattan, Michael W. 

作者机构：Cleveland Clin Dept Quantitat Hlth Sci Cleveland OH 44103 USA 

出 版 物：《CHEST》 (胸腔)

年 卷 期：2023年第164卷第5期

页      面：1281-1289页

核心收录：

学科分类：1002[医学-临床医学] 100201[医学-内科学(含：心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 10[医学] 

主　　题：KEY WORDS calibration continuous predictors Cox regression cross-validation Hosmer-Lemeshow test index of prediction accuracy model development rare outcome ROC curve SHAP value time to event end point unbalanced data variable selection 

摘      要：Developing and evaluating statistical prediction models is challenging, and many pitfalls can arise. This article identifies what the authors believe are some common methodologic concerns that may be encountered. We describe each problem and make suggestions regarding how to address them. The hope is that this article will result in higher-quality publications of statistical