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Registerintra-subject variability in a fixed sequence 2 period design [General Statistics]
Hi Martin,
A mixed model is only useful if you have more than 2 periods (or repeated measures). In the case you are explaining, if data is missing for one period it can't be used in any way regardless of the statistical method used.
Also, I can't understand why would you use a single sequence design in bioequivalence, and also why you use a mixed effects model in a "pre-post" design... Anyway, I guess that as long as you use a random slope and intercept model, residual variability will be your "within subject variability"... but not sure how that applies to a mixed effects model with two periods only.
Regards,
David
A mixed model is only useful if you have more than 2 periods (or repeated measures). In the case you are explaining, if data is missing for one period it can't be used in any way regardless of the statistical method used.
Also, I can't understand why would you use a single sequence design in bioequivalence, and also why you use a mixed effects model in a "pre-post" design... Anyway, I guess that as long as you use a random slope and intercept model, residual variability will be your "within subject variability"... but not sure how that applies to a mixed effects model with two periods only.
Regards,
David
Complete thread:
- intra-subject variability in a fixed sequence 2 period design martin 2017-03-28 15:25 [General Statistics]
![[Mix]](https://static.bebac.at/img/mix.png "open in Mix view")
- intra-subject variability in a fixed sequence 2 period designDavidManteigas 2017-03-29 10:59
Ing. Helmut Schütz