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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...
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| 出版年: | Multivariate Behav Res |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2016
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| 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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