What is it about?

This article contributes several new, three treatment crossover designs consisting of a placebo and two active treatments. Such a crossover design is characterized as an optimal and/or efficient for two to four periods having different number of subjects. More such crossover designs can be constructed by 5M active algorithm.

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Why is it important?

Now the experimenter can use crossover design in three more situation, first, when the carryover of both active treatments are not equal; second, to estimate treatment contrasts under self and mixed carryover model when measurement of subjects is possible up to two periods only; and third, when availability of subjects is a multiple of three.

Perspectives

Experimenters now have more choices of optimal and/or efficient crossover designs for precise comparison of two active treatments in three and four periods.

Dr Jigneshkumar J Gondaliya
Gujarat University

Read the Original

This page is a summary of: Optimal and/or Efficient Two treatment Crossover Designs for Five Carryover Models, The International Journal of Biostatistics, November 2018, De Gruyter,
DOI: 10.1515/ijb-2018-0001.
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