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ROBINS-I:a tool for assessing risk of bias in non-randomized studies of interventions

机译:ROBINS-I:在非随机干预研究中评估偏倚风险的工具

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摘要

Non-randomized studies of the effects of interventions are critical to many areas of health care evaluation, but their results may be biased. It is therefore important to understand and appraise their strengths and weaknesses. We developed ROBINS-I (“Risk Of Bias In Non-randomized Studies - of Interventions”), a new tool for evaluating risk of bias in estimates of the comparative effectiveness (harm or benefit) of interventions from studies that did not use randomization to allocate units (individuals or clusters of individuals) to comparison groups. The tool will be particularly useful to those undertaking systematic reviews that include non-randomized studies.
机译:干预效果的非随机研究对于医疗保健评估的许多领域都至关重要,但其结果可能会产生偏差。因此,了解和评估他们的优缺点非常重要。我们开发了ROBINS-I(“非随机研究中的偏见风险-干预”),这是一种新工具,可用于评估偏倚风险,该偏倚风险是根据未使用随机分组的研究得出的干预措施的相对有效性(危害或收益)估算值将单位(个人或个人集群)分配给比较组。该工具对那些进行包括非随机研究在内的系统评价的人特别有用。

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