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

HIGHLIGHTS

• who: Ingrid Pelgrims from the (UNIVERSITY) have published the paper: Using random-forest multiple imputation to address bias of self-reported anthropometric measures, hypertension and hypercholesterolemia in the Belgian health interview survey, in the Journal: (JOURNAL)
• what: The aim of this study is threefold: 1) to assess the agreement between self-reported and measured information on height, weight, hypertension and hypercholesterolemia in Belgian adults and examine how the use of self-reported data impacts the estimates of the followed as much as possible the methodological guidelines provided in the framework of the European Health Examination . . .
  

   

  

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