Why Match? Investigating Matched Case-Control Study Designs with Causal Effect Estimation
نویسندگان
چکیده
منابع مشابه
Why match? Investigating matched case-control study designs with causal effect estimation.
Matched case-control study designs are commonly implemented in the field of public health. While matching is intended to eliminate confounding, the main potential benefit of matching in case-control studies is a gain in efficiency. Methods for analyzing matched case-control studies have focused on utilizing conditional logistic regression models that provide conditional and not causal estimates...
متن کاملA 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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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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Background: several studies have explored the relationship between blood lipid levels and depressive disorders. Specific studies reported an association between lower serum cholesterol and depressive disorder, while some other studies no connection. The aim of this study was to evaluate the relationship of serum lipid profiles and serum serotonin with depressive disorder. Methods: In the prese...
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Regular case-control sampling is an extremely common design used to generate data to estimate effects of exposures or treatments on a binary outcome of interest when the proportion of cases (i.e., binary outcome equal to 1) in the population of interest is low. Case-control sampling represents a biased sample of a target population of interest by sampling a disproportional number of cases. Case...
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ژورنال
عنوان ژورنال: The International Journal of Biostatistics
سال: 2009
ISSN: 1557-4679
DOI: 10.2202/1557-4679.1127