Modeling Multiple Time-Varying Related Groups: A Dynamic Hierarchical Bayesian Approach With an Application to the Health and Retirement Study
多个时变关联群组的建模：动态层次贝叶斯方法及其在健康与退休研究中的应用AI 解读 ↓
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AI 根据所提供的论文材料归类：摘要明确使用健康与退休研究中个体财务和身体健康的相关纵向数据。
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多个时变关联群组的建模：动态层次贝叶斯方法及其在健康与退休研究中的应用
- 研究问题
- 如何联合建模老年人的财务与身体健康纵向指标，在允许群组关联随时间变化的同时，研究两类健康状态的条件关系？
- 方法与思路
- 作者提出半参数联合模型，以动态层次矩阵折棍过程先验描述时变群组依赖，并用Lasso型先验选择具有时间不变效应的协变量。
- 材料陈述的贡献
- 摘要称该模型支持财务与身体健康的双向条件分析；应用显示Medicare覆盖多数医疗支出，但慢性病额外费用仍有覆盖缺口。
- 阅读关注点
- 应核对联合分布、群组定义、时变依赖先验与收缩设置，以及保险覆盖结论如何由观测数据得出，并查看模拟评价指标。
- 阅读边界
- 来源为稿件版本未注明的OpenAlex索引摘要；保险有效性的表述不能直接视为因果效应，摘要未说明识别策略或模拟数值。
原文摘要
As the population of the older individuals continues to grow, it is important to study the relationship among the variables measuring financial health and physical health of the older individuals to better understand the demand for healthcare, and health insurance. We propose a semiparametric approach to jointly model these variables. We use data from the Health and Retirement Study which includes a set of correlated longitudinal variables measuring financial and physical health. In particular, we propose a dynamic hierarchical matrix stick-breaking process prior for some of the model parameters to account for the time dependent aspects of our data. This prior introduces dependence among the parameters across different groups which varies over time. A Lasso type shrinkage prior is specified for the covariates with time-invariant effects for selecting the set of covariates with significant effects on the outcomes. Through joint modeling, we are able to study the physical health of the older individuals conditional on their financial health, and vice-versa. Based on our analysis, we find that the health insurance (medicare) provided by the government (of the United States) to the older individuals is very effective, and it covers most of the medical expenditures. However, none of the health insurances conveniently cover the additional medical expenses due to chronic diseases like cancer and heart problem. Simulation studies are performed to assess the operating characteristics of our proposed modeling approach. Supplementary materials for this article, including a standardized description of the materials available for reproducing the work, are available as an online supplement.