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The Combined Effects of Measurement Error and Omitting Confounders in the Single-Mediator Model

Mediation analysis requires a number of strong assumptions be met in order to make valid causal inferences. Failing to account for violations of these assumptions, such as not modeling measurement error or omitting a common cause of the effects in the model, can bias the parameter estimates of the m...

詳細記述

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書誌詳細
出版年:Multivariate Behav Res
主要な著者: Fritz, Matthew S., Kenny, David A., MacKinnon, David P.
フォーマット: Artigo
言語:Inglês
出版事項: 2016
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC5166584/
https://ncbi.nlm.nih.gov/pubmed/27739903
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/00273171.2016.1224154
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