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Our method involves multiply imputing the missing items and questions by adding existing methods of imputation designed for single surveys a hierarchical regression that allows co variates at the individual and survey levels.
Unlike other methods of imputation, multiple imputation acknowledges uncertainty about the missing values by creating several imputed datasets.
Often, the more negative result is coded 0 (negative response), thus: (4) One of the most commonly used methods of imputation in PRO is the Personal Mean Score (PMS) method which involves imputing a missing value using the average score of the individual on the observed responses (rounded to the nearest integer) [ 16, 17].
Methods of imputation were investigated in sensitivity analyses.
Post hoc analyses used alternative methods of imputation in patients with fewer than two analysable mTSS.
Work to develop methods of imputation in the context of longitudinal data analysis is ongoing.
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Missing value imputation was undertaken using the method of imputation by chained equations [36].
The missing data structure and the particular method of imputation we used are described in the supplement (Text S1 and Table S1).
Another important decision is the method of imputation.
In our data analysis scenario, multiple imputation was usually the most accurate method of imputation.
Therefore, we investigated the probability of bias due to the method of imputation.
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