Data quality assessment and subsampling strategies to correct distributional bias in prevalence studies

BACKGROUND: Healthcare-associated infections (HAIs) represent a major Public Health issue. Hospital-based prevalence studies are a common tool of HAI surveillance, but data quality problems and non-representativeness can undermine their reliability. METHODS: This study proposes three algorithms that...

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Detalles Bibliográficos
Autores principales: D’Ambrosio, A., Garlasco, J., Quattrocolo, F., Vicentini, C., Zotti, C. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Technical Advance
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8088017/
https://www.ncbi.nlm.nih.gov/pubmed/33931025
http://dx.doi.org/10.1186/s12874-021-01277-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8088017/
https://www.ncbi.nlm.nih.gov/pubmed/33931025
http://dx.doi.org/10.1186/s12874-021-01277-y

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