Studies involving large observational datasets commonly face the challenge of dealing with multiple missing values. The most popular approach to overcome this challenge, multiple imputation using chained equations, however, has been shown to be …
**Background:** High intake of sugar-containing beverages (SCBs) has been linked to increased risk of obesity. However, associations of SCB intake during pregnancy with child body composition have been unclear.
**Objectives:** We explored whether SCB …
**Objectives:** To develop a healthy aging score (HAS), to assess age and sex differences in HAS, and to evaluate the association of the HAS with survival.
**Design:** Prospective population-based cohort.
**Setting:** Inhabitants of Ommoord, …
Incomplete data are generally a challenge to the analysis of most large studies. The current gold standard to account for missing data is multiple imputation, and more specifically multiple imputation with chained equations (MICE). Numerous studies …