Appropriate inclusion of interactions was needed to avoid bias in multiple imputation

OBJECTIVE: Missing data are a pervasive problem, often leading to bias in complete records analysis (CRA). Multiple imputation (MI) via chained equations is one solution, but its use in the presence of interactions is not straightforward. STUDY DESIGN AND SETTING: We simulated data with outcome Y de...

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Detalhes bibliográficos
Publicado no:J Clin Epidemiol
Main Authors: Tilling, Kate, Williamson, Elizabeth J., Spratt, Michael, Sterne, Jonathan A.C., Carpenter, James R.
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2016
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Original Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5176003/
https://ncbi.nlm.nih.gov/pubmed/27445178
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jclinepi.2016.07.004
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