质量(理念)
统计模型
数据科学
管理科学
预测建模
医学
计算机科学
风险分析(工程)
机器学习
人工智能
认识论
哲学
经济
作者
Yuxuan Jin,Michael W. Kattan
出处
期刊:Chest
[Elsevier BV]
日期:2023-07-04
卷期号:164 (5): 1281-1289
被引量:10
标识
DOI:10.1016/j.chest.2023.06.038
摘要
Developing and evaluating statistical prediction models is challenging, and many pitfalls can arise. This article identifies what the authors feel are some common methodological concerns that may be encountered. We describe each problem and make suggestions on how to address them. The hope is that this manuscript will result in higher quality publications of statistical prediction models. Developing and evaluating statistical prediction models is challenging, and many pitfalls can arise. This article identifies what the authors feel are some common methodological concerns that may be encountered. We describe each problem and make suggestions on how to address them. The hope is that this manuscript will result in higher quality publications of statistical prediction models.
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