[Missing data in clinical trials. Problem of structure similarity of study population and control groups]

Missing data in a clinical trial may produce a change in the stratification of a controlled group. The method of statistical analysis employed should thus be designed for incomplete data to avoid false conclusions. This approach is illustrated in a realistic clinical example using cross-sectional and longitudinal data.