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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Dettagli Bibliografici
Pubblicato in:PLoS One
Autori principali: Silenou, Bernard C., Avalos, Marta, Helmer, Catherine, Berr, Claudine, Pariente, Antoine, Jacqmin-Gadda, Helene
Natura: Artigo
Lingua:Inglês
Pubblicazione: Public Library of Science 2019
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Research Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6354983/
https://ncbi.nlm.nih.gov/pubmed/30703112
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0211118
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