A STATISTICAL METHOD FOR SURROGATE WEALTH DATA IN AGING

老龄化中替代财富数据的统计方法

• 批准号: 6227413
• 负责人: Paul Joseph Rathouz
• 金额: $ 7.55万
• 依托单位: UNIVERSITY OF CHICAGO
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-06-01 至 2002-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6227413
• 关键词: aging; behavioral /social science research tag; bone density; clinical research; computer data analysis; disease /disorder proneness /risk; epidemiology; health; hip fractures; human data; method development; osteopenia; socioeconomics; statistics /biometry

This study proposes a novel statistical methodology for addressing an important problem in secondary data analysis in the epidemiology of aging. The investigators propose to develop a method to combine data from two separate samples to model the relationship of a response y to a covariate a when y and a do not coexist in one sample. The general relationship of interest is wealth (u) and health (y). Specifically, primary data contain the response y of interest, a biological or clinical health measurement. The investigators use the third National Health and Nutrition Examination Survey (NHANES), which contains detailed data based on clinical examination. However, rather than financial status information, NHANES only contains standard sociodemographic proxy variables x which are loosely related to wealth. The relationship of these proxy, or surrogate, variables to the true financial status indicators a is to be modelled using an auxiliary external validation data set, the Health and Retirement Study. The resulting surrogate model will then be used in the primary data (NHANES) to study the relationship of interest. The problem is formalized as one of errors-in-covariates. The proposed study will investigate the feasibility and subsequently develop a method for addressing this problem. Additionally, the method will be demonstrated with a real substantive question which has received little attention in the US: Is there an association between bone mineral density (BMD) or the prevalence of osteopenia (low BMD) and wealth? The question is of interest because the geographic pattern of hip fractures among whites in the US suggests a possible association between pathology and lifelong poverty. Specific aims are: (1.) To develop and test a regression model for the mean and variance of a multivariate surrogate x as a function of the missing covariate u and other covariates w. (2.) To use the model developed in Aim 1 and a new methodology for errors-in-covariates to model the regression of health outcome y in terms of a and w.

这项研究提出了一种新的统计方法，用于解决衰老流行病学中的二级数据分析中的重要问题。研究人员建议开发一种方法，将数据组合为从两个单独的样本组合数据，以模拟响应y与协变量A的关系时，当y和a在一个样本中不共存。兴趣的一般关系是财富（U）和健康（Y）。具体而言，主要数据包含感兴趣的响应，一种生物学或临床健康测量。研究人员使用第三次国家健康和营养检查调查（NHANES），其中包含基于临床检查的详细数据。但是，NHANES仅包含与财富松散相关的标准社会人口统计学变量X，而不是财务状况信息。这些代理或代理变量与真实财务状况指标A的关系A将使用辅助外部验证数据集（健康和退休研究）建模。然后，由此产生的替代模型将在主要数据（NHANES）中用于研究感兴趣的关系。这个问题被形式化为企业中的错误之一。拟议的研究将研究可行性，并随后开发一种解决此问题的方法。此外，该方法将通过一个真正的实质性问题来证明，该问题在美国很少受到关注：骨矿物质密度（BMD）之间是否存在关联或骨质减少症（低BMD）和财富的患病率？问题之所以引起人们的关注，是因为美国白人之间髋部骨折的地理模式表明病理学与终身贫困之间可能存在关联。具体目的是：（1。）为多变量替代X的平均值和方差开发和测试回归模型作为缺失协变量U和其他协变量w的函数w。 （2.）使用在AIM 1中开发的模型以及一种新方法，用于跨载体中的错误，以根据A和W进行对健康结果的回归进行建模。