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Interaction 1: heterogeneity of effects

机译:互动1:效果的异质性

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In several types of study we may want to examine the consistency of an observed relation across two or more subgroups of the individuals studied. For example, in a clinical trial we might want to know if the observed treatment difference is the same for young and old patients or for different stages of disease at presentation. In an epidemiological study we might want to know whether the observed relation between an exposure and disease is different among smokers and non-smokers In such cases we are interested in examining whether one effect is modified by the value of another variable. This may be viewed as the examination of the heterogeneity of an observed effect, such as treatment benefit in a clinical trial, across subsets of individuals. The statistical term for heterogeneity of this type is interaction; the medical concept of synergy is the same thing.
机译:在几种类型的研究中,我们可能希望检查所研究个体的两个或多个子组之间观察到的关系的一致性。例如,在一项临床试验中,我们可能想知道观察到的治疗差异对于年轻患者和老年患者是否相同,或者就诊时疾病的不同阶段是否相同。在流行病学研究中,我们可能想知道吸烟者和非吸烟者之间所观察到的暴露与疾病之间的关系是否不同。在这种情况下,我们有兴趣检查一种作用是否被另一变量的值所改变。这可以看作是对个体子集之间观察到的效果(例如临床试验中的治疗获益)异质性的检查。这种类型的异质性的统计术语是相互作用。协同作用的医学概念是一回事。

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