Two-stage recurrent events random effects models

doi:10.1007/s10985-025-09680-z

2025-12-29

PRE

Thomas Scheike *

DOI：10.1007/s10985-025-09680-z

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我们考虑在存在终末事件的情况下，用于复发事件的半参数随机效应模型。复发事件具有比例边际率模型（Cox, J Roy Stat Soc Ser B 34:406-424, 1972）或比例边际均值模型（Ghosh and Lin, Stat Sin 34: 663-688, 2002），而终末事件的边际率由比例模型给出。复发事件与终末事件之间的依赖关系由两种随机效应模型的变体描述，这些模型允许过程完全或部分共享随机效应。模型被表述为两阶段模型，其中边际可以在初始阶段拟合，然后随后可以估计随机效应参数。参数估计不需要选择任何调节参数，这与基于数值积分的流程不同，且数值流程效果良好。标准误差通过自助法（bootstrap）计算。该方法应用于台中腹膜透析研究（Chen et al., Biom J 57(2):215-233, 2015），该研究考虑了透析患者的复发炎症。

Keyword:

Frailty model

Gamma distribution

Partly shared frailty

Recurrent events

Terminal event

期刊

Lifetime Data Analysis

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university of copenhagen

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