Health administrative data enrichment using cohort information: Comparative evaluation of methods by simulation and application to real data

BACKGROUND: Studies using health administrative databases (HAD) may lead to biased results since information on potential confounders is often missing. Methods that integrate confounder data from cohort studies, such as multivariate imputation by chained equations (MICE) and two-stage calibration (T...

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Detalles Bibliográficos
Autores principales: Silenou, Bernard C., Avalos, Marta, Helmer, Catherine, Berr, Claudine, Pariente, Antoine, Jacqmin-Gadda, Helene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6354983/
https://www.ncbi.nlm.nih.gov/pubmed/30703112
http://dx.doi.org/10.1371/journal.pone.0211118

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6354983/
https://www.ncbi.nlm.nih.gov/pubmed/30703112
http://dx.doi.org/10.1371/journal.pone.0211118

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