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Auxiliary variables in multiple imputation in regression with missing X: a warning against including too many in small sample research

BACKGROUND: Multiple imputation is becoming increasingly popular. Theoretical considerations as well as simulation studies have shown that the inclusion of auxiliary variables is generally of benefit. METHODS: A simulation study of a linear regression with a response Y and two predictors X(1) and X(...

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Bibliografski detalji
Glavni autori: Hardt, Jochen, Herke, Max, Leonhart, Rainer
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2012
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3538666/
https://ncbi.nlm.nih.gov/pubmed/23216665
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2288-12-184
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