How to Implement Mean Imputation in Cancer Studies?
To implement mean imputation in cancer studies, researchers typically follow these steps:
Identify Missing Data: Determine which values are missing in the dataset. Calculate Mean: Compute the mean of the available values for the variable with missing data. Impute Values: Replace the missing values with the calculated mean. Validate Imputation: Check the dataset for any inconsistencies or biases introduced by the imputation.
