using Crossover for Tmax test

Dear all,

When using Crossover for Tmax testing, how can I judge whether it is equivalent by the result?

I read the “The nonparametric methods proposed by Koch (1972)” document, and I think he is doing the following steps to judge:

  1. Determine if the P value of the sequence is greater than 0.05,

  2. If the P value of the sequence is less than 0.05, the test of “Treatment” cannot be performed.

  3. If the P value of the sequence is greater than 0.05, it is judged whether the P value of the treatment is greater than 0.05.

  4. If the P value of the Treatment is greater than the equivalent, otherwise it is not equivalent.

  5. If the P value of the sequence and the P value of the Period are both greater than 0.05, a sign test can be used instead of the rank sum test used in the above steps.

Assuming α = 0.05, all of the above P values are the results in the “Effects” table.

Is the above judgment process correct?
If not, what is the correct judgment process?

Best,

0521

Dear 0521,

Please refer to the link below, and there is a detail explanation bu Helmut.

https://support.certara.com/forums/topic/730-tmax-statistical-comparison-crossover-design/

https://forum.bebac.at/mix_entry.php?id=14840&page=0&category=0&order=last_answer&descasc=DESC#p14841

Best,

Chandramouli