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MISSING DATA IN REGRESSION MODELS FOR NON-COMMENSURATE MULTIPLE OUTCOMES

Biomedical research often involves the measurement of multiple outcomes in different scales (continuous, binary and ordinal). A common approach for the analysis of such data is to ignore the potential correlation among the outcomes and model each outcome separately. This can lead not only to loss of...

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Main Authors: Teixeira-Pinto, Armando, Normand, Sharon-Lise
格式: Artigo
語言:Inglês
出版: 2011
主題:
在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC3595565/
https://ncbi.nlm.nih.gov/pubmed/23504447
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