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The displayed means and standard deviations or proportions are calculated after missing data handling.
Sensitivity analyses showed our findings were robust for the choice of estimation method and missing data handling.
Fourth, missing levels of growth data at some ages and visits was substantial, although we applied missing data handling techniques to address this limitation.
Furthermore, by including auxiliary variables in the analyses (e.g., the Time-1 variables in the case of longitudinal analyses), bias is reduced relative to listwise deletion or other ad hoc missing data handling strategies.
Provide automated data curation facility including removal of irrelevant data by selecting only the bioactivity type of interest, filtering out missing data, handling of duplicates (e.g. same or two experimental records: same structure) and dealing with several forms of the same molecule (including salt groups).
The majority of studies reported high attrition rates and missing data handling was generally not well described (Table 2).
Similar(47)
In addition, the shortcoming of missing data handled in CTT could be overcome through the derived measures estimated by Rasch modeling.
Initially, we will use complete case analysis (i.e. do the analysis without taking missing data into account) and then repeat the analyses with missing data handled by multiple imputation technique [ 51- 53].
The missing data was handled with pairwise deletion.
In the logistic regression analyses missing data were handled by listwise deletion.
Results were little changed when missing data were handled using LOCF or multiple imputation (Table S7).
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