具有信息终端事件的循环事件过程的半参数反均值模型

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2024-01-01 DOI:10.5705/ss.202021.0353

Wen Su, Li Liu, G. Yin, Xingqiu Zhao, Ying Zhang

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引用次数: 0

摘要

我们研究了具有信息终端事件的循环事件过程的半参数回归，其中观测仅在离散时间点进行，而不是连续时间。为了解释终端事件对循环事件过程的影响，我们提出了一种半参数反均值模型，为此我们开发了一种基于两阶段筛似然的方法来估计基线均值函数和协变量效应。我们的方法克服了在假设似然是基于泊松过程的情况下由讨厌的函数参数引起的计算困难。我们建立了一篇论文的一致性、收敛率和渐近正态性

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Semiparametric Reversed Mean Model for Recurrent Event Process with Informative Terminal Event

Semiparametric Reversed Mean Model for Recurrent Event Process with Informative Terminal Event Wen Su1∗ , Li Liu2∗, Guosheng Yin, Xingqiu Zhao and Ying Zhang Department of Statistics and Actuarial Science, University of Hong Kong, Hong Kong School of Mathematics and Statistics, Wuhan University, Wuhan, China Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong Department of Biostatistics, University of Nebraska Medical Center, Omaha, NE, USA

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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.

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