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In a second step, missing data will be imputed using multiple imputation techniques; based on this imputed dataset, we will conduct a sensitivity analysis (all case analysis).
Missing cost and utility data will be imputed using multiple imputation through chained equations, with the number of imputation datasets set to reflect the proportion of missingness in the data as recommended by previous guidelines into the use of MI approaches [ 44].
Missing data will be imputed using multiple imputation techniques.
Missing outcome data will be imputed using multiple imputation [ 52].
Missing data will be imputed using multiple imputation techniques [ 62].
Missing values will be imputed using multiple imputation techniques.
Similar(34)
Because missing data are not allowed in MDR, missing SNPs were imputed using multiple imputation (MICE) [27].
Missing values were imputed using multiple imputations.
Missing data were imputed using multiple imputations.
Missing data were imputed using multiple imputation procedures.
Missing covariates (<1%) were imputed using multiple imputation (24).
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Justyna Jupowicz-Kozak
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