Evaluation of the significance level in Schuirmann's test for checking the bioequivalence hypothesis in missing data conditions

The bioequivalence hypothesis testing is the important task in pharmacokinetics. It helps to make a decision about the equivalence of the reproduced drug to the reference drug. One of the problems of bioequivalence studies is the availability of missing data. A small amount of data entails the inability to delete a data sample with missing data. Therefore, there is a task to estimate the impact of missing data on bioequivalence testing task, in particular, to estimate the significance level. The main method of the bioequivalence hypothesis testing is Schuirmann's two one-sided tests procedure. The article shows the significance level evaluation of this procedure in the case of missing data. The evaluation component, depending on the level of data completeness, is shown in the explicit form.