Characterizing and Managing Missing Structured Data in Electronic Health Records: Data Analysis

BACKGROUND: Missing data is a challenge for all studies; however, this is especially true for electronic health record (EHR)-based analyses. Failure to appropriately consider missing data can lead to biased results. While there has been extensive theoretical work on imputation, and many sophisticate...

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Detalles Bibliográficos
Autores principales: Beaulieu-Jones, Brett K, Lavage, Daniel R, Snyder, John W, Moore, Jason H, Pendergrass, Sarah A, Bauer, Christopher R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2018
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5845101/
https://www.ncbi.nlm.nih.gov/pubmed/29475824
http://dx.doi.org/10.2196/medinform.8960

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5845101/
https://www.ncbi.nlm.nih.gov/pubmed/29475824
http://dx.doi.org/10.2196/medinform.8960

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