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Confounding in the Estimation of Mediation Effects. | LitMetric

Confounding in the Estimation of Mediation Effects.

Comput Stat Data Anal

Division of Biostatistics and Bioinformatics, Departments of Family and Preventive Medicine and Neurosciences, Alzheimer's Disease Cooperative Study, University of California, San Diego.

Published: March 2007

A mediation effect explains the relationship of a risk factor and an outcome through a mediator variable which is a step in their pathway. Under the assumption of no cycling in the causal relationship, we consider various situations in which a fourth variable may interfere the estimation of a mediation effect as a confounding factor. Our asymptotic results, which are supported by a Monte Carlo study, show that adjusting for confounding factors under certain conditions might lead to biased estimates. A general guideline is provided for when it is appropriate to adjust for confounding factors in estimating a mediation effect. We apply the guideline to the estimation of the mediation effect of Alzheimer's disease pathology in the relationship between the Apolipoprotein E ε4 allele and cognitive function among 125 deceased participants from the Religious Orders Study, a longitudinal, clinical-pathologic study of aging and Alzheimer's disease.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2031834PMC
http://dx.doi.org/10.1016/j.csda.2006.10.016DOI Listing

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