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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| 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 |