具有信息终端事件的面板计数数据的非参数估计和检验

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2024-01-01 DOI:10.5705/ss.202021.0213

Xiangbin Hu, Li Liu, Ying Zhang, Xingqiu Zhao

引用次数: 2

摘要

信息性终末事件经常发生在长期复发事件随访研究中。为了明确反映此类事件对反复事件过程的影响，我们提出了面板计数数据的反向非参数平均模型，其中终端事件受到右审查。该模型对应用有意义的解释，对统计推断具有鲁棒性。将右截尾终端事件时间的分布作为一个累加函数参数，结合Kaplan-Meier估计和非参数筛估计技术，提出了一种两阶段估计方法。我们建立了所提出的非参数估计量的相合性、收敛率和渐近正态性，并构造了一类新的双样本检验统计量。我们还建立了新测试的渐近性质，并通过广泛的模拟研究评估了它们的性能。最后，我们将该方法应用于中国纵向健康寿命研究的面板计数数据来验证。1.中国统计:预印本doi:10.5705/ss.202021.0213

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.