Zoekresultaten - 3 results
Using random-forest multiple imputation to address bias of self-reported anthropometric measures, hypertension and hypercholesterolemia in the Belgian health interview survey
data. With both regression calibration and multiple imputation, adjusted estimation of these variables in the BHIS allowed to generate national prevalence estimates that were closer to their BELHES ...
Anxiety and Depression in Belgium during the First 15 Months of the COVID-19 Pandemic: A Longitudinal Study
mixed models were used to model the associations between the predictor variables and the mental health outcomes. Results showed that the prevalence of symptoms of anxiety and depression was higher in ...
Development of a generic and open source Incidence-Prevalence-Mortality model for the assessment of chronic disease epidemiology
of the input variables vary continuously as a function of age, cubic smoothing splines were incorporated in DisModR. The DisMod() function in DisModR allows the user to compute the di erent ...