Odds ratio, hazard ratio and relative risk

J. Stare, D. Maucort-Boulch
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引用次数: 69

Abstract

Odds ratio (OR) is a statistic commonly encountered in professional or scientific medical literature. Most readers perceive it as relative risk (RR), although most of them do not know why that would be true. But since such perception is mostly correct, there is nothing (or almost nothing) wrong with that. It is nevertheless useful to be reminded now and then what is the relation between the relative risk and the odds ratio, and when by equating the two statistics we are sometimes forcing OR to be something it is not. Another statistic, which is often also perceived as a relative risk, is the hazard ratio (HR). We encounter it, for example, when we fit the Cox model to survival data. Under proportional hazards it is probably "natural" to think in the following way: if the probability of death in one group is at every time point k-times as high as the probability of death in another group, then the relative risk must be k, regardless of where in time we are. This could be hardly further from the truth and in this paper we try to dispense with this blunder.
优势比,风险比和相对风险
比值比(OR)是专业或科学医学文献中经常遇到的统计数据。大多数读者认为这是相对风险(RR),尽管他们中的大多数人不知道为什么会这样。但由于这种看法基本上是正确的,因此没有什么(或几乎没有)错。然而,时不时提醒一下相对风险和优势比之间的关系是有用的,当我们把这两种统计数据等同起来时,我们有时会强迫OR成为它不是的东西。另一个经常被认为是相对风险的统计数据是风险比(HR)。例如,当我们将Cox模型拟合到生存数据时,我们就会遇到这种情况。在比例风险下,我们可以很自然地这样思考:如果一个群体在每个时间点的死亡概率是另一个群体死亡概率的k倍,那么相对风险一定是k,无论我们在什么时间点。这与事实相去甚远,在本文中,我们试图免除这一错误。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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