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理解关联度量:从康复研究示例中得到的入门指南。

Understanding Measures of Association: A Primer With Examples From Rehabilitation Research.

机构信息

From the Department of Medicine, McMaster University, Hamilton, Ontario, Canada (SU); and Department of Medicine, Division of Physical Medicine and Rehabilitation, University of Toronto, Toronto, Ontario, Canada (MA, DK).

出版信息

Am J Phys Med Rehabil. 2019 Aug;98(8):725-728. doi: 10.1097/PHM.0000000000001170.

Abstract

Understanding measures of associations, how they are calculated, what they mean, and how to compare them is an important part of understanding clinical and health research. The relative risk and odds ratio are the two most common used measures of association in medical research. The appropriate use of these statistics to estimate the association between treatment or risk factor and outcome in research studies depends on the methodology and design of the study. The aim of this article was to cover basics of odds ratio and relative risk as the most important measures for the association between an exposure and an outcome. We use a clinical scenario as an example of their uses and demonstrate their calculation.

摘要

了解关联度量的概念、如何计算、含义以及如何进行比较,是理解临床和健康研究的重要组成部分。相对风险和优势比是医学研究中最常用的两种关联度量。在研究中,这些统计数据用于估计治疗或风险因素与结果之间的关联,其使用的恰当性取决于研究的方法学和设计。本文旨在介绍优势比和相对风险这两个最重要的暴露与结果之间关联的度量指标的基础知识。我们使用一个临床场景作为它们应用的示例,并演示它们的计算方法。

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