V corrected [🇷 for BE/BA]
Dear ElMaestro,
I think your V needs to be corrected to reflect the FDA model for replicate cross-over designs.
See Patterson et al
"REPLICATE DESIGNS AND AVERAGE, INDIVIDUAL, AND POPULATION BIOEQUIVALENCE"
GSK BDS Technical Report 2002 – 01
online resource
It has to be composed from these two parts:
(sequence TRTR, hope I got all these nasty subscripts right )
between-subject:
and within-subject diagonal matrix:
I'm not so familiar with the so-called V matrix but I guess its the sum of both?*see PS
Thus you have 5 variance-covariance parameters to estimate:
vBT, vBT and covTR, latter here given as Corr(elation) and one residual error term which is presumable the mean of vWT and vWR or other spoken common within-subject error (assuming vWT = vWR=ve).
Have a look at the very beginning of this thread to see that FDA's Proc MIXED and my lme() attempt are giving the same covariance parameter values (except that Proc MIXED gives variances/covariances and lme() stddev's for the between part and an error term and factors for T/R for the within-subject part, i.e. you have to calculate f.i. sWR as error(residual) term multiplied by the factor for R.
*PS: Regarding the matratzes we had it already here.
[edit]----------------------------
link to technical report corrected
I think your V needs to be corrected to reflect the FDA model for replicate cross-over designs.
See Patterson et al
"REPLICATE DESIGNS AND AVERAGE, INDIVIDUAL, AND POPULATION BIOEQUIVALENCE"
GSK BDS Technical Report 2002 – 01
online resource
It has to be composed from these two parts:
(sequence TRTR, hope I got all these nasty subscripts right )
between-subject:
vBT covTR vBT covTR
covTR vBR covTR vBR
vBT covTR vBT covTR
covTR vBR covTR vBR
and within-subject diagonal matrix:
vWT
vWR
vWT
vWR
I'm not so familiar with the so-called V matrix but I guess its the sum of both?*see PS
Thus you have 5 variance-covariance parameters to estimate:
- vBT, vBT and covTR from the between-subject variation
- vWT and vWR from the within-subject part
vBT, vBT and covTR, latter here given as Corr(elation) and one residual error term which is presumable the mean of vWT and vWR or other spoken common within-subject error (assuming vWT = vWR=ve).
Have a look at the very beginning of this thread to see that FDA's Proc MIXED and my lme() attempt are giving the same covariance parameter values (except that Proc MIXED gives variances/covariances and lme() stddev's for the between part and an error term and factors for T/R for the within-subject part, i.e. you have to calculate f.i. sWR as error(residual) term multiplied by the factor for R.
*PS: Regarding the matratzes we had it already here.
[edit]----------------------------
link to technical report corrected
—
Regards,
Detlew
Regards,
Detlew
Complete thread:
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