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The procedure described in the manual for handling instances of missing data was used on all subscales, except for the Cognitive/Inattention subscale of the CTRS-R.
Most responders provided complete answers and the few instances of missing data were completed by further contact with the service.
Applied researchers and statisticians need to improve their handling of missing data in RCTs.
Additionally, their ability to handle situations of missing data has also been reported [16].
More, handling of missing data is easy, because IRT models do not required imputation of missing data.
The procedures for handling of missing data were decided in advance according to previous procedures [ 52].
Handling of missing data will be by complete case analysis, with sensitivity analyses using other methods including multiple imputation if possible.
Handling of missing data and statistical analysis were conducted by using Stata 12.0.
The proper handling of missing data is a complicated endeavor [10].
Listwise deletion was employed in the handling of missing data.
This model allows analyzing data from repeated measurements as well as proper handling of missing data.
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