Addressing missing values in routine health information system data: an evaluation of imputation methods using data from the Democratic Republic of the Congo during the COVID-19 pandemic

BACKGROUND: Poor data quality is limiting the use of data sourced from routine health information systems (RHIS), especially in low- and middle-income countries. An important component of this data quality issue comes from missing values, where health facilities, for a variety of reasons, fail to re...

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Detalles Bibliográficos
Autores principales: Feng, Shuo, Hategeka, Celestin, Grépin, Karen Ann
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8567342/
https://www.ncbi.nlm.nih.gov/pubmed/34736462
http://dx.doi.org/10.1186/s12963-021-00274-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8567342/
https://www.ncbi.nlm.nih.gov/pubmed/34736462
http://dx.doi.org/10.1186/s12963-021-00274-z

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