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病例交叉设计和病例时间对照设计中的混杂因素与暴露趋势。

Confounding and exposure trends in case-crossover and case-time-control designs.

作者信息

Greenland S

机构信息

Department of Epidemiology, UCLA School of Public Health 90095-1772, USA.

出版信息

Epidemiology. 1996 May;7(3):231-9. doi: 10.1097/00001648-199605000-00003.

Abstract

As with ordinary studies, both case-crossover and case-time-control studies can suffer from confounding, including confounding by indication. In a case-crossover analysis, confounding by fixed (constant) characteristics is eliminated by pairing of cases to themselves, at the possible cost of introducing bias due to time trends in exposure. A case-time-control analysis can correct case-crossover results only for bias due to such time trends. If an uncontrolled confounder (such as disease severity) is present, the use of time controls can introduce new confounding, and the case-time-control results may end up either more or less confounded than the ordinary and case-crossover results. The relative confounding in the different approaches depends on details of the relations among the unmeasured confounder, the study exposure, the study disease, and any trend in these variables or their effects. Like an ordinary study, a case-time-control study must assume absence of unmeasured confounders, whether fixed or time-varying. Like a case-crossover study, it must also assume absence of carryover effects and can be more prone to misclassification bias than an ordinary study.

摘要

与普通研究一样,病例交叉研究和病例时间对照研究都可能存在混杂因素,包括指征性混杂。在病例交叉分析中,通过将病例自身配对可消除由固定(恒定)特征导致的混杂,但可能会因暴露的时间趋势而引入偏差。病例时间对照分析只能校正病例交叉结果中由此类时间趋势导致的偏差。如果存在未控制的混杂因素(如疾病严重程度),使用时间对照可能会引入新的混杂因素,病例时间对照研究的结果最终可能比普通研究和病例交叉研究的结果混杂程度更高或更低。不同方法中的相对混杂情况取决于未测量的混杂因素、研究暴露因素、研究疾病以及这些变量或其效应的任何趋势之间关系的细节。与普通研究一样,病例时间对照研究必须假定不存在未测量的混杂因素,无论是固定的还是随时间变化的。与病例交叉研究一样,它还必须假定不存在残留效应,并且可能比普通研究更容易出现错误分类偏差。

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