Using random-forest multiple imputation to address bias of self-reported anthropometric measures, hypertension and hypercholesterolemia in the Belgian health interview survey ...
Abstract 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 obesity, hypertension and hypercholesterolemia. This study aimed to assess the agreement between self-reported and measured height, weight, hypertension and hypercholesterolemia and to identify an adequate approach for valid measurement error correction. Methods Nine thousand four hundred thirty-... Mehr ...
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Dokumenttyp: | Datenquelle |
Erscheinungsdatum: | 2024 |
Verlag/Hrsg.: |
figshare
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Schlagwörter: | Statistics / FOS: Mathematics |
Sprache: | unknown |
Permalink: | https://search.fid-benelux.de/Record/base-28885421 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://dx.doi.org/10.6084/m9.figshare.c.6592645 |