The restricted mean survival time (RMST) model has been garnering attention as a way to provide a clinically intuitive measure: the mean survival time. RMST models, which use methods based on pseudo time-to-event values and inverse probability censoring weighting, can adjust covariates. However, no approach has yet been introduced that considers random effects for clusters. In this paper, we propose a new random-effect RMST. We present two methods of analysis that consider variable effects by i) using a generalized mixed model with pseudo-values and ii) integrating the estimated results from the inverse probability censoring weighting estimating equations for each cluster. We evaluate our proposed methods through computer simulations. In addition, we analyze the effect of a mother's age at birth on under-five deaths in India using states as clusters.

翻译：限制性平均生存时间（RMST）模型作为一种提供临床直观度量——平均生存时间的方法，正日益受到关注。基于伪事件时间值和逆概率删失加权方法的RMST模型能够调整协变量。然而，目前尚未有考虑聚类随机效应的相关方法被提出。本文提出了一种新的随机效应RMST模型。我们提出了两种考虑变量效应的分析方法：i）利用含伪值的广义混合模型，以及ii）整合每个聚类逆概率删失加权估计方程得到的估计结果。通过计算机模拟评估了所提出方法的性能。此外，我们以印度各邦作为聚类，分析了母亲生育年龄对五岁以下儿童死亡率的影响。