A statistical model of a clinical treatment series is set up on the assumption that survival times of patients not cured are log-normally distributed. It is shown how this statistical model n.ay be used to provide random samples of the kind of data likely to be obtained from an actual clinical experiment. Such data can be used to test different methods of statistical amalysis and thus discover the best one to use in an actual clinical treatment series.