New Insights into Handling Missing Values in Environmental Epidemiological Studies

Missing data are unavoidable in environmental epidemiologic surveys. The aim of this study was to compare methods for handling large amounts of missing values: omission of missing values, single and multiple imputations (through linear regression or partial least squares regression), and a fully Bay...

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Detalles Bibliográficos
Autores principales: Roda, Célina, Nicolis, Ioannis, Momas, Isabelle, Guihenneuc, Chantal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4165576/
https://www.ncbi.nlm.nih.gov/pubmed/25226278
http://dx.doi.org/10.1371/journal.pone.0104254

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4165576/
https://www.ncbi.nlm.nih.gov/pubmed/25226278
http://dx.doi.org/10.1371/journal.pone.0104254

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