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Is it possible to use the data collected during the washout period to verify that the length of the period was sufficient?

The carryover effect was not significant (we did not expect a carryover effect) and there were no effects of treatment.

I am interested in knowing whether the washout period was sufficient, and if I can shorten the washout period for future studies. For example, the washout period was 6 days for a behavioural study. It would save time and money to shorten the period to 4 days when we repeat the study.

I have data collected during the pre-study period (ie a baseline), during the washout periods, and during the periods when treatments were applied.

My thoughts were to compare the washout periods to the pre-study period, since everything was the same except treatments were not applied. To determine whether the washout period was sufficient (1), I would treat the 6 days within each washout period as a random effect. To determine whether I can shorten the washout period to 4 days (2), I would look to see if there are any trends/differences across the days.

However, I wonder if I cannot actually determine whether the washout period was significant because there were no significant effects of treatment.

  • I would start by some plotting, maybe time traces ... can you show us some plots? – kjetil b halvorsen Sep 27 '21 at 15:33
  • I plotted the outcome variable by time (days) with treatments combined and treatments separated. There are no trends - it looks relatively straight across time, with normal/expected variation. The washout periods look similar as well. – user1762 Sep 27 '21 at 18:10

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