Causal diagrams and the logic of matched case-control studies [Corrigendum]

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Causal diagrams and the logic of matched case-control studies [Corrigendum]

It is tempting to assume that confounding bias is eliminated by choosing controls that are identical to the cases on the matched confounder(s). We used causal diagrams to explain why such matching not only fails to remove confounding bias, but also adds colliding bias, and why both types of bias are removed by conditioning on the matched confounder(s). As in some publications, we trace the logi...

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We use causal diagrams to illustrate the consequences of matching and the appropriate handling of matched variables in cohort and case-control studies. The matching process generally forces certain variables to be independent despite their being connected in the causal diagram, a phenomenon known as unfaithfulness. We show how causal diagrams can be used to visualize many previous results about...

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A simulation study on matched case-control designs in the perspective of causal diagrams

BACKGROUND In observational studies, matched case-control designs are routinely conducted to improve study precision. How to select covariates for match or adjustment, however, is still a great challenge for estimating causal effect between the exposure E and outcome D. METHODS From the perspective of causal diagrams, 9 scenarios of causal relationships among exposure (E), outcome (D) and the...

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Matched Case-Control Studies

'National Cancer Institute, Biometric Research Branch, DCTD, Executive Plaza North, Room 739, 6130 Executive Boulevard, MSC 7434, Bethesda, Maryland 20892-7434, U.S.A. 2National Cancer Institute, Biometry Research Group, DCP, Executive Plaza North, Room 344, 6130 Executive Boulevard, Bethesda, Maryland 20892, U.S.A. 3F0x Chase Cancer Center, 7701 Burholme Avenue, Philadelphia, Pennsylvania 1911...

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ژورنال

عنوان ژورنال: Clinical Epidemiology

سال: 2014

ISSN: 1179-1349

DOI: 10.2147/clep.s59328