具有双截断数据的半参数加性风险模型

IF 0.8 3区 数学 Q2 MATHEMATICS
Yijin Zhang, Liuquan Sun
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引用次数: 0

摘要

当所关注的生存时间仅在某个随机区间内被观察到时,就会出现双截断数据。本文考虑了具有双截断数据的半参数加性风险模型,提出了一种加权估计方程方法来估计回归系数,其中权重的估计包括参数估计和非参数估计。建立了所得估计量的渐近性质。仿真研究表明,所提出的估计器在有限样本下具有良好的性能。提供了对帕金森病数据的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Semiparametric Additive Hazards Model with Doubly Truncated Data

Doubly truncated data arise when the survival times of interest are observed only if they fall within certain random intervals. In this paper, we consider a semiparametric additive hazards model with doubly truncated data, and propose a weighted estimating equation approach to estimate the regression coefficients, where the weights are estimated both parametrically and nonparametrically. The asymptotic properties of the resulting estimators are established. Simulation studies demonstrate that the proposed estimators perform well in a finite sample. An application to Parkinson’s disease data is provided.

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来源期刊
CiteScore
1.00
自引率
0.00%
发文量
138
审稿时长
14.5 months
期刊介绍: Acta Mathematica Sinica, established by the Chinese Mathematical Society in 1936, is the first and the best mathematical journal in China. In 1985, Acta Mathematica Sinica is divided into English Series and Chinese Series. The English Series is a monthly journal, publishing significant research papers from all branches of pure and applied mathematics. It provides authoritative reviews of current developments in mathematical research. Contributions are invited from researchers from all over the world.
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