Combining data from primary and ancillary surveys to assess the association between neighborhood-level characteristics and health outcomes: the Multi-Ethnic Study of Artherosclerosis.
Combining data from primary and ancillary surveys to assess the association between neighborhood-level characteristics and health outcomes: the Multi-Ethnic Study of Artherosclerosis.
复制标题
结合主要和辅助调查的数据来评估社区特征与健康结果之间的关联：动脉粥样硬化的多种族研究。
DOI：
10.1002/sim.3384
复制
发表时间：
2008
影响因子：
2
通讯作者：
Lee,O
中科院分区：
文献类型：
--
作者：
Sánchez,BN;Raghunathan,TE;DiezRoux,AV;Zhu,Y;Lee,O
人们越来越有兴趣了解社区层面因素对个人健康的作用。存在许多准确测量个体健康状况和个体危险因素的大规模流行病学研究。有时，这些研究与地区级数据库（例如人口普查）相关联，以评估地区级粗略特征与健康之间的关联。然而，来自此类数据库的信息可能无法衡量感兴趣的邻里级别的结构。最近，大规模流行病学研究已经开始收集数据，以利用辅助调查来衡量社区的具体特征。辅助调查由一组单独的、通常规模更大的个人组成。接下来的挑战是结合这两项调查的信息来评估社区层面因素的作用。我们提出了一种使用基于可能性的框架组合来自两个数据源的信息的方法。我们通过模拟研究将其与当前使用的临时方法进行比较。模拟研究表明，与其他方法相比，所提出的方法产生的估计具有更好的采样特性（更少的偏差和更好的覆盖概率）。然而，在某些情况下，一些临时方法可以提供足够的估计。我们还通过将这些方法应用于动脉粥样硬化的多种族研究及其邻里辅助调查来对这些方法进行比较。版权所有 © 2008 约翰·威利父子有限公司
There is increasing interest in understanding the role of neighborhood‐level factors on the health of individuals. Many large‐scale epidemiological studies that accurately measure health status of individuals and individual risk factors exist. Sometimes these studies are linked to area‐level databases (e.g. census) to assess the association between crude area‐level characteristics and health. However, information from such databases may not measure the neighborhood‐level constructs of interest. More recently, large‐scale epidemiological studies have begun collecting data to measure specific features of neighborhoods using ancillary surveys. The ancillary surveys are composed of a separate, typically larger, set of individuals. The challenge is then to combine information from these two surveys to assess the role of neighborhood‐level factors. We propose a method for combining information from the two data sources using a likelihood‐based framework. We compare it with currently usedad hocapproaches via a simulation study. The simulation study shows that the proposed approach yields estimates with better sampling properties (less bias and better coverage probabilities) compared with the other approaches. However, there are cases where somead hocapproaches may provide adequate estimates. We also compare the methods by applying them to the Multi‐Ethnic Study of Atherosclerosis and its Neighborhood Ancillary Survey. Copyright © 2008 John Wiley & Sons, Ltd.