Statistical analyses were performed using those observations with no missing values in any of the mentioned variables.
Furthermore we had to impute many missing values prior to our calculations as mentioned above in this section.
Here it should be mentioned that 307 missing values of alcohol intake involved a special alcoholic beverage brewed from horse milk.
The observations with missing values for at least one of the variables mentioned are dropped.
Except for BMI mentioned above, the proportion of missing values was negligible.
Apart from the two sensitivity analyses already mentioned relating to exposure and missing values, two others will be included.
It should be mentioned that the imputation of missing values in the AR set is 'a mission impossible' as no plausible common latent trait could be found.
As already mentioned, when the covariates have missing values, a model is needed for the distribution of covariates in addition to the structural equation model.
Note: missing values not included.
Note: missing values reflect discarded/uninterpretable values.
