Cross-validatory Z-Residual for Diagnosing Shared Frailty Models

IF 2.1 4区 数学 Q1 STATISTICS & PROBABILITY American Statistician Pub Date : 2024-10-29 DOI:10.1080/00031305.2024.2421370
Tingxuan Wu, Cindy Feng, Longhai Li
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Abstract

Accurate model performance assessment in survival analysis is imperative for robust predictions and informed decision-making. Traditional residual diagnostic tools like martingale and deviance resi...
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用于诊断共享虚弱模型的交叉验证性 Z-Residual模型
生存分析中准确的模型性能评估对于稳健预测和明智决策至关重要。传统的残差诊断工具,如马氏残差和偏差残差等,都无法准确评估模型的性能。
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来源期刊
American Statistician
American Statistician 数学-统计学与概率论
CiteScore
3.50
自引率
5.60%
发文量
64
审稿时长
>12 weeks
期刊介绍: Are you looking for general-interest articles about current national and international statistical problems and programs; interesting and fun articles of a general nature about statistics and its applications; or the teaching of statistics? Then you are looking for The American Statistician (TAS), published quarterly by the American Statistical Association. TAS contains timely articles organized into the following sections: Statistical Practice, General, Teacher''s Corner, History Corner, Interdisciplinary, Statistical Computing and Graphics, Reviews of Books and Teaching Materials, and Letters to the Editor.
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