Understanding The Odds: Statistics in Public Health
Understanding The Odds: Statistics in Public Health
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DOI：
10.3389/frym.2022.926624
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发表时间：
2023-01
期刊：
影响因子：
--
通讯作者：
Gabriella Goodwin;So Young Ryu
中科院分区：
文献类型：
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作者：
Gabriella Goodwin;So Young Ryu
在公共卫生和医学领域，研究人员经常试图发现理解和预防疾病及其他负面健康结果的新方法。当公共卫生研究人员想要检查某种暴露（例如吸烟）与疾病（例如肺癌）之间的关系时，他们通常会从计算所谓的比值比开始。比值比是对接触过的人和未接触过的人之间的比值进行比较。然而，即使对于经验丰富的研究人员来说，优势比也可能很难理解。在本文中，我们将通过回顾概率和赔率的概念和计算来分解赔率比。我们还将讨论如何解释优势比，以及这些比率如何在实际应用中发挥作用。
In the world of public health and medicine, researchers are often trying to discover new ways of understanding and preventing diseases and other negative health outcomes. When public health researchers want to examine the relationship between some sort of exposure, like smoking, and a disease, such as lung cancer, they will often start by calculating what is called an odds ratio. An odds ratio is a comparison of odds between people who were exposed and people who were not exposed. However, odds ratios can be tricky to understand, even for experienced researchers. In this article, we will break down the odds ratio by reviewing the concepts and calculations of probability and odds. We will also discuss how to interpret an odds ratio, and how these ratios can be useful in real-world applications.