Cargando…
Thirty-three myths and misconceptions about population data: from data capture and processing to linkage
Databases covering all individuals of a population are increasingly used for research and decision-making. The massive size of such databases is often mistaken as a guarantee for valid inferences. However, population data have characteristics that make them challenging to use. Various assumptions on...
Autores principales: | Christen, Peter, Schnell, Rainer |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Swansea University
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10454001/ https://www.ncbi.nlm.nih.gov/pubmed/37636835 http://dx.doi.org/10.23889/ijpds.v8i1.2115 |
Ejemplares similares
-
Demystifying probabilistic linkage: Common myths and misconceptions
por: Doidge, James C, et al.
Publicado: (2018) -
Population Data Centre Profiles: Centre for Data Linkage
por: Boyd, JH, et al.
Publicado: (2020) -
Linking education and hospital data in England: linkage process and quality
por: Libuy, Nicolás, et al.
Publicado: (2021) -
Microsimulation of an educational attainment register to predict future record linkage quality
por: Schnell, Rainer, et al.
Publicado: (2023) -
The SEEDS of Indigenous population health data linkage
por: Rowe, Robyn K., et al.
Publicado: (2021)