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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Detalles Bibliográficos
Autores principales: Hendry, Gillian M, Naidoo, Rajen N, Zewotir, Temesgen, North, Delia, Mentz, Graciela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4289583/
https://www.ncbi.nlm.nih.gov/pubmed/25524532
http://dx.doi.org/10.1186/1471-2288-14-136

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4289583/
https://www.ncbi.nlm.nih.gov/pubmed/25524532
http://dx.doi.org/10.1186/1471-2288-14-136

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