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从汇总数据中推导相对风险。1. 理论。

Deriving relative risks from aggregate data. 1. Theory.

作者信息

Norström T

机构信息

Swedish Institute for Social Research, University of Stockholm.

出版信息

J Epidemiol Community Health. 1988 Dec;42(4):333-5. doi: 10.1136/jech.42.4.333.

DOI:10.1136/jech.42.4.333
PMID:3256574
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1052761/
Abstract

Sociological macro analyses of the association between risk factors and mortality can be seen as a valuable supplement to epidemiological micro studies. However, sociologists and epidemiologists typically employ different measures of association and this hampers strict comparisons of findings. This study presents a synthetic approach relying on both micro and macro data. In Part 1, the mathematical relations between the relative risk and the attributable fraction on the one hand, and the regression coefficient on the other are derived in order to make cross level comparisons possible. Part 2 provides an empirical illustration of the approach.

摘要

对风险因素与死亡率之间关联的社会学宏观分析可被视为对流行病学微观研究的一种有价值的补充。然而,社会学家和流行病学家通常采用不同的关联度量方法,这妨碍了对研究结果进行严格比较。本研究提出了一种综合方法,该方法依赖于微观和宏观数据。在第一部分,推导了一方面相对风险与归因分数之间,另一方面回归系数之间的数学关系,以便能够进行跨层次比较。第二部分提供了该方法的实证例证。

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