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
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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。
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来源期刊
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.
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