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Canonical Causal Diagrams to Guide the Treatment of Missing Data in Epidemiologic Studies
With incomplete data, the “missing at random” (MAR) assumption is widely understood to enable unbiased estimation with appropriate methods. While the need to assess the plausibility of MAR and to perform sensitivity analyses considering “missing not at random” (MNAR) scenarios has been emphasized, t...
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| Yayımlandı: | Am J Epidemiol |
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| Asıl Yazarlar: | , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Oxford University Press
2018
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6269242/ https://ncbi.nlm.nih.gov/pubmed/30124749 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/aje/kwy173 |
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