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本页整理公开书目信息,不生成学术质量评分。AI 解读根据题名及所注明的摘要或原文片段生成,未完成全文核验,可能有误;具体假设、证明与结论请核对原文。摘要保留来源文本,未经模型改写。

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分类依据与纠错

AI 根据所提供的论文材料归类:摘要明确研究患者面板及个体异质性,并联合处理随时间变化的结局与死亡。

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代码、数据与补充材料

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关注这篇论文的作者
Tony Lancaster
Orna Intrator

带生存结局的面板数据:HIV 阳性患者住院分析

研究问题
如何分析 HIV 阳性患者的住院经历与死亡时间,并处理住院结局和死亡风险相关、协变量随时间变化的面板数据?
方法与思路
作者联合建模十五个月内的住院事件与生存时间,以未观测的个体脆弱性项连接二者,并纳入固定和时变协变量。
材料陈述的贡献
摘要称,模型经预测检验总体与数据一致,并估计住院率的时间变化及协变量关联,提出处理死亡相关面板结局的框架。
阅读关注点
应核对个体脆弱性项的分布与作用、住院和死亡的联合模型、预测检验标准,以及向其他纵向结局扩展的条件。
阅读边界
仅依据版本未注明的 OpenAlex 索引摘要;模型识别条件和具体估计结果未说明,协变量关联不能直接解释为因果效应。

原文摘要

This article provides an analysis of the hospitalization experience of a panel of HIV-positive patients. It is part of a program of work designed to study the medical expenditures of such patients and their variation both between people and over time. We model the joint distribution of the inpatient episodes and the survival times of a panel of patients over 15 months. The model induces correlation between hospitalization and death via an unmeasured, person-specific, frailty term, and it allows rates of hospitalization and of death each to be affected by time-invariant and time-varying covariates. We subject the model to a variety of predictive tests and show that it is generally consistent with the data. We study and present estimates of the time variation in the rate of hospitalization. We also report the effects of a large number of covariates on rates of hospitalization and mortality. The model generalizes fairly easily in a number of ways, one of which is to handle vector-valued measures of medical expenditure and of other outcomes, such as the employment record, associated with the illness and evolving through time. Our model thus points toward a general solution to the problem of analyzing panel data in which the outcome variables of interest are correlated with the rate of mortality.

笔记与分组
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