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Missing data were handled using the worst-case method.
Missing data were handled using the mean imputation method [ 36].
Missing data were handled using the missing indicator method.
Missing data were handled using the full information maximum likelihood procedure.
Missing data were handled using the mean and median imputation method.
Missing data were handled using the Markov chain Monte Carlo full-imputation strategy with a single imputation.
Missing data were handled using the chained equations multiple imputation command ice in Stata.
bMissing data was handled using the last observation carried forward (LOCF) method.
All numeric data were handled using Microscoft Excel 2004 for Mac, version 11.5.
Missing data were handled using multiple imputation by chained equation.
Missing data were handled using pairwise deletion methods.
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