用于诊断共享虚弱模型的交叉验证性 Z-Residual模型

IF 1.8 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

引用次数: 0

摘要

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。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Cross-validatory Z-Residual for Diagnosing Shared Frailty Models

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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来源期刊

American Statistician 数学-统计学与概率论

CiteScore

3.50

自引率

5.60%

发文量

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.