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Multiple imputation thus requires the building of an imputation model in which predictor variables have to be specified.
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His multiple imputation techniques thus would not be valid in this context.
Thus, multiple imputation succeeded in correcting the bias inherent in the Kaplan-Meier method.
Among eligible patients, some variables were missing and thus multiple imputation using regression analysis was applied to predict missing values.
Almost no data were missing (2% of the planned visits, and 3-73-7%ssing per variable); thus multiple imputation was deemed unnecessary.
A few values from biochemical sera were missing, thus a multiple imputation (MI) was performed to impute the missing information.
We performed the variable selection based on a combination of missing data multiple imputation (MI) and bootstrap resampling, thus allowing control for both the variability in the imputation as well as in the automated selection procedure [ 24].
In contrast to the Heckman and other approaches described thus far, multiple imputation methods derive missing values from existing data in the dataset, thereby creating a 'complete' dataset and eliminating the need to drop patients from analysis.
Therefore, multiple imputation [ 46] was used.
Thus, we kept the multiple imputation parameters that gave us the best correlation with our own masked data and further evaluated the effect of transforming measurements for just some of the 17 phosphoproteins.
Our use of multiple imputation to determine population mean values is thus not the only approach to using the method.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com