Multiple imputation (MI) is a method for repairing and analyzing data with missing values. MI replaces missing values with a sample of random values drawn from an imputation model. The most popular ...
In longitudinal clinical trials, missing data is a threat to scientific integrity. Whether due to patient dropouts, missed ...
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