We present CopyMean, a new method to impute monotone missing values in longitudinal studies.

We compare four version of this new method to 12 classical imputation methods.

For that, we generate some artificial missing values on real dataset that had initially no missing data.

CopyMean outperforms the other methods in many situations (34 on 54).