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There were no statistically significant differences in marital status or exercise in relation to dementia status.> -wrap-foot> aMissing values imputed using multiple imputations procedure.
For the ITT analyses, we will apply the multiple imputations procedure (MICE) of STATA, which imputes missing data using all available data on a person.
For the ITT analyses, we will apply the multiple imputations procedure (MICE) of STATA, which imputes missing data using all available baseline variables (sociodemographic and health- and cannabis-related variables).
Although it is unlikely that such a small amount of partially missing data would bias the results in any way, the multiple imputations procedure was performed in LISREL as recommended[ 25].
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Using the monotone logistic aspect of the multiple imputation procedure, we imputed the missing data.
It is also worth noting that we applied a multiple imputation procedure to impute the missing values of each covariate.
However, because of missing data, we used a multiple imputation procedure to impute values for the missing data for diabetes and gynecomastia.
We used the multiple imputation procedure to impute missing values of each covariate, assuming that the data are multivariate normally distributed and the missing data are missing at random.
Intention to treat analyses were performed in comparisons between the intervention and comparison group, and missing data was imputed by the multiple imputation procedure in IBM-SPSS statistical package.
Therefore, missing values were imputed using a multiple imputation procedure following the approach of van Buuren and Groothuis-Oudshoorn, 33 resulting in five imputed data sets.
This was imputed using a multivariate multiple imputation procedure with 10 imputations.
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