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Potential impact fractions of body mass index reductions on the non-communicable disease burden in Belgium using G-computation
address. Self-reported BMI and diabetes were corrected based on information from the 2018 Belgian health examination survey and a random-forest multiple imputation process. A G-computation approach was used ...
Using random-forest multiple imputation to address bias of self-reported anthropometric measures, hypertension and hypercholesterolemia in the Belgian health interview survey
Source: BMC Med Res Methodol, Volume 23, Issue 1 (2023) Keywords: health examination survey health interview survey hypercholesterolemia Hypertension Measurement error Multiple imputation Obesity Abstract: ...
Bottom-up approach to build a ‘precision’ risk factor classification for diabetic foot ulcer healing. Proof-of-concept
presentation. Predictors of healing were identified using multivariable Cox proportional hazard regression. Multivariable models were built using backward regression with multiple imputation of missing values ...