Adaptive two-treatment three-period crossover design for normal responses. (English) Zbl 1452.62574

Summary: In adaptive crossover design, our goal is to allocate more patients to a promising treatment sequence. The present work contains a very simple three period crossover design for two competing treatments where the allocation in period 3 is done on the basis of the data obtained from the first two periods. Assuming normality of response variables we use a reliability functional for the choice between two treatments. We calculate the allocation proportions and their standard errors corresponding to the possible treatment combinations. We also derive some asymptotic results and provide solutions on related inferential problems. Moreover, the proposed procedure is compared with a possible competitor. Finally, we use a data set to illustrate the applicability of the proposed design.


62K05 Optimal statistical designs
62L05 Sequential statistical design
62P10 Applications of statistics to biology and medical sciences; meta analysis
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