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 1.5 3区数学 Q2 STATISTICS & PROBABILITY

Statistica Sinica 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

Statistica Sinica 数学-统计学与概率论

CiteScore

2.10

自引率

0.00%

发文量

审稿时长

10.5 months

期刊介绍： Statistica Sinica aims to meet the needs of statisticians in a rapidly changing world. It provides a forum for the publication of innovative work of high quality in all areas of statistics, including theory, methodology and applications. The journal encourages the development and principled use of statistical methodology that is relevant for society, science and technology.