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Model development including interactions with multiple imputed data
BACKGROUND: Multiple imputation is a reliable tool to deal with missing data and is becoming increasingly popular in biostatistics. However, building a model with interactions that are not specified a priori, in the presence of missing data, presents a challenge. On the one hand, the interactions ar...
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| Publicado no: | BMC Med Res Methodol |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4289583/ https://ncbi.nlm.nih.gov/pubmed/25524532 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2288-14-136 |
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