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Defining, Evaluating, and Removing Bias Induced by Linear Imputation in Longitudinal Clinical Trials with MNAR Missing Data
Missing not at random (MNAR) post-dropout missing data from a longitudinal clinical trial result in the collection of “biased data”, which leads to biased estimators and tests of corrupted hypotheses. In a full rank linear model analysis the model equation, E[Y] = Xβ, leads to the definition of the...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2011
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3886340/ https://ncbi.nlm.nih.gov/pubmed/21390998 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10543406.2011.550097 |
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