Using random-forest multiple imputation to address bias of self-reported anthropometric measures, hypertension and hypercholesterolemia in the Belgian health interview survey

BACKGROUND: In many countries, the prevalence of non-communicable diseases risk factors is commonly assessed through self-reported information from health interview surveys. It has been shown, however, that self-reported instead of objective data lead to an underestimation of the prevalence of obesi...

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Detalles Bibliográficos
Autores principales: Pelgrims, Ingrid, Devleesschauwer, Brecht, Vandevijvere, Stefanie, De Clercq, Eva M., Vansteelandt, Stijn, Gorasso, Vanessa, Van der Heyden, Johan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10040120/
https://www.ncbi.nlm.nih.gov/pubmed/36966305
http://dx.doi.org/10.1186/s12874-023-01892-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10040120/
https://www.ncbi.nlm.nih.gov/pubmed/36966305
http://dx.doi.org/10.1186/s12874-023-01892-x

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