Competing risks regression for clustered data with covariate-dependent censoring

IF 0.6 4区数学 Q4 STATISTICS & PROBABILITY

Communications in Statistics - Theory and Methods Pub Date : 2024-03-31 DOI:10.1080/03610926.2024.2329771

Manoj Khanal, Soyoung Kim, Xi Fang, Kwang Woo Ahn

引用次数: 0

Abstract

Competing risks data in clinical trials or observational studies often suffer from cluster effects such as center effects and matched pairs design. The proportional subdistribution hazards (PSH) mo...

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具有协变量依赖性删减的聚类数据的竞争风险回归

临床试验或观察性研究中的竞争风险数据通常会受到中心效应和配对设计等群集效应的影响。比例子分布危险度（PSH）模型可用于分析这些数据。

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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来源期刊

Communications in Statistics - Theory and Methods 数学-统计学与概率论

CiteScore

2.00

自引率

12.50%

发文量

320

审稿时长

7.5 months

期刊介绍： The Theory and Methods series intends to publish papers that make theoretical and methodological advances in Probability and Statistics. New applications of statistical and probabilistic methods will also be considered for publication. In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership.