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Most variables had less than 2% missing observations before imputation except diet, drinking, smoking, quality of sleep and physical activity having less than 10% missing values.
42 Most variables had <2% missing observations before imputation except smoking and exercise, having <10% missing values.
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*Level of university education: 10 missing observations in Germany and 6 missing observations in Austria.
Imputation for missing observations was applied to efficacy endpoints evaluated at or before week 52 using the last observation carried forward (LOCF) method.
Third, all relevant variables are screened for missing observations.
The last observation carried forward (LOCF) was used to analyze missing observations.
*Three missing observations.
Some variables have missing observations.
cN = 3 with missing observations.
dN = 6 with missing observations.
*Between 0 3 missing observations per period.
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