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Using random-forest multiple imputation to address bias of self-reported anthropometric measures, hypertension and hypercholesterolemia in the Belgian health interview survey.
Pelgrims, Ingrid; Devleesschauwer, Brecht; Vandevijvere, Stefanie; De Clercq, Eva M; Vansteelandt, Stijn; Gorasso, Vanessa; Van der Heyden, Johan.
  • Pelgrims I; Service Risk and Health Impact Assessment, Sciensano, Rue Juliette Wytsman 14, 1050, Brussels, Belgium. Ingrid.pelgrims@sciensano.be.
  • Devleesschauwer B; Applied Mathematics, Computer Science and Statistics, Ghent University, Krijgslaan 281, S9, BE-9000, Ghent, Belgium. Ingrid.pelgrims@sciensano.be.
  • Vandevijvere S; Department of Epidemiology and Public Health, Sciensano, Rue Juliette Wytsman 14, 1050, Brussels, Belgium. Ingrid.pelgrims@sciensano.be.
  • De Clercq EM; Department of Epidemiology and Public Health, Sciensano, Rue Juliette Wytsman 14, 1050, Brussels, Belgium.
  • Vansteelandt S; Department of Translational Physiology, Infectiology and Public Health, Ghent University, Salisburylaan 133, Hoogbouw, B-9820, Merelbeke, Belgium.
  • Gorasso V; Department of Epidemiology and Public Health, Sciensano, Rue Juliette Wytsman 14, 1050, Brussels, Belgium.
  • Van der Heyden J; Service Risk and Health Impact Assessment, Sciensano, Rue Juliette Wytsman 14, 1050, Brussels, Belgium.
BMC Med Res Methodol ; 23(1): 69, 2023 03 25.
Article en En | MEDLINE | ID: mdl-36966305
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Hipercolesterolemia / Hipertensión Tipo de estudio: Clinical_trials / Diagnostic_studies / Prevalence_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Límite: Humans País como asunto: Europa Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Hipercolesterolemia / Hipertensión Tipo de estudio: Clinical_trials / Diagnostic_studies / Prevalence_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Límite: Humans País como asunto: Europa Idioma: En Año: 2023 Tipo del documento: Article