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Owing to an expected high number of dropouts, the censoring due to death and missing data due to possible loss to follow-up will be handled using maximum likelihood methods.
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Missingness (less than 5% overall) was handled using maximum likelihood estimation under the assumption that data were missing at random (MAR)[ 21].
Missing values will be handled using multiple imputation techniques.
Missing data will be handled using multiple imputation methods.
Missing values will be handled using multiple imputation techniques [ 75].
Completely missing measurements will be handled using multiple imputation.
Missing data are handled using full information maximum likelihood (FIML).
Data missingness was handled using full information maximum likelihood under the assumption of missing at random.
Missing data across CASP-19 were handled using full information maximum likelihood estimation.
Therefore missing data for all further analyses were handled using the full information maximum likelihood (FIML) method.
Missing data were handled using the full information maximum likelihood procedure.
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