'Randomisation' for RR/RR design [General Statistics]
Dear HS,
(emphasis by me)
I cannot imagine any criterion to decide what R1 and R2 is, if it is the same product, same batch and so on.
What you have is only
with µR the mean for R (your Reference product) and p a period effect.
Within a subject you have to add an error term to specify the full model.
Thus you cannot and need not randomize any arbitrary sequences.
I would just run an ANOVA with a fixed period effect and a random subject effect. The residual error is then what you are looking for, I think.
(emphasis by me)
❝ Problems arise from the ‘pseudo randomisation’ – there’s only one product and sequences in a conventional 2×2 cross-over will be fixed a priori like this:
❝ S/P | I II❝ -----+-------❝ 1 | R1 R2❝ 2 | R2 R1❝ Of course the assignment to ‘R1’ is ‘R2’ is arbitrary; any other then the chosen one in the protocol will result in another PE and CVintra…
I cannot imagine any criterion to decide what R1 and R2 is, if it is the same product, same batch and so on.
What you have is only
S/P | I II
------+---------
RR | µR µR+p with µR the mean for R (your Reference product) and p a period effect.
Within a subject you have to add an error term to specify the full model.
Thus you cannot and need not randomize any arbitrary sequences.
I would just run an ANOVA with a fixed period effect and a random subject effect. The residual error is then what you are looking for, I think.
—
Regards,
Detlew
Regards,
Detlew
Complete thread:
- 'Randomisation' for RR/RR design Helmut 2008-08-21 14:10
- 'Randomisation' for RR/RR design ElMaestro 2008-08-21 14:32
- 'Randomisation' for RR/RR design Ohlbe 2008-08-21 15:17
- 'Randomisation' for RR/RR design Helmut 2008-08-21 17:22
- 'Randomisation' for RR/RR designd_labes 2008-08-21 16:59
- 'Randomisation' for RR/RR design Helmut 2008-08-21 17:16
