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A multilevel Bayesian model for contextual effect of materiai deprivation

机译:物资剥夺的背景影响的多级贝叶斯模型

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The relationship between socioeconomic factors and health has been studied in many circumstances. Whether the association takes place at individual level only, or also at population level (contextual effect) is still unclear. We present a multilevel hierarchical Bayesian model to investigate the Joint contribution of individual and population-based socioeconomic factors to mortality, using data from the census cohort of the general population of the city of Florence, Italy (Tuscany Longitudinal Study, 1991-1995). Evidence supporting a contextual effect of de-privation on mortality at the very fine level of aggregation is found. Inappropriate modelling of individual and aggregate variables could strongly bias effect estimates.
机译:在许多情况下都研究了社会经济因素与健康之间的关系。关联是仅在个人级别还是在人口级别(上下文影响)仍然不清楚。我们使用来自意大利佛罗伦萨市总人口普查队列的数据,提出了一个多层次的贝叶斯模型来研究个人和基于人口的社会经济因素对死亡率的共同贡献(托斯卡纳纵向研究,1991-1995年)。找到了证据证明剥夺在非常精细的汇总水平下对死亡率的背景影响。对单个变量和集合变量的不适当建模可能会严重影响效果估计。

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