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Falsification end points for observational studies

机译:观察研究的伪造终点

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To the Editor: Observational studies on the association between exposures or treatments and health outcomes are potentially biased (eg, by confounding). Drs Prasad and Jena discussed falsification end points, a potential solution to validate findings from observational studies. The idea of falsification end points, or negative controls, is elegant. Think of an end point that is known to be unrelated to the exposure or treatment under study. If that association is indeed absent (and thus unbiased), it may be concluded that the association between the treatment and the actual end point is unbiased as well. Unfortunately, this will not necessarily be the case.
机译:致编辑:有关暴露或治疗与健康结果之间关系的观察性研究可能存在偏见(例如,混杂因素)。 Prasad和Jena博士讨论了伪造终点,这是验证观察研究结果的潜在解决方案。伪造终点或阴性对照的想法很优雅。考虑一个已知与研究中的暴露或治疗无关的终点。如果确实不存在这种关联(因此没有偏见),则可以得出结论,治疗和实际终点之间的关联也没有偏见。不幸的是,情况未必一定如此。

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