Data will be examined for missing data and multiple
imputation strategies will be used if necessary.
To examine the robustness of the study findings more thoroughly, multiple -
imputation strategies were used.
In general, multiple imputation imputes missing scale values with regression - based maximal likelihood procedures but also incorporates random error into the estimates.26 To improve estimates, key demographic factors and the important covariates were used in
the imputation strategy, and the procedures described by Allison27 for intervention studies were used.
Not exact matches
Where appropriate, develop a
strategy for data
imputation (if we assume that data is not missing at random).