Sample size partial replicate design: variance [Regulatives / Guidelines]
Dear Helmut,
Let Yi.k the sequence-by-period means (i=sequence, k=period) of the PK parameters under consideration (log-transformed if necessary).
The expected values of these are under the usual model (without carry-over):
The contrast
is then an estimate of the difference between Test and Reference.
This estimate can be shown to have variance (derivation omitted due to length)
where the ni are the number of subjects in the sequence groups and sigma2e the error variance (intra-subject).
With the same number of subjects in each sequence this reduces to
where N is now the total number of subjects.
This is the same as the variance of the appropriate contrast of sequence-by-period means for the usual 2x2x3 design (f.i. TRT/RTR) which is (see Chow, Liu "Design and Analysis of Bioavailability and Bioequivalence Studies", chapter 9.3.1)
Thus we can use the design constant 1.5 also for the partial replicated design (sequences TRR/RTR/RRT)!
Or the rule 0.75*N for a 2x2 design, but now as a multiple of 3.
This concludes your definitive rehabilitation
.
Someone out there to prove me wrong?
BTW: The exact sample size for the partial replicate design assuming expected CV 40%, expected T/R 95%, target power 80% and BE margins 75%-133.333333% is N=27, achieved power=0.801380
BE margins 75%-133%: N=27, achieved power=0.799982
Let Yi.k the sequence-by-period means (i=sequence, k=period) of the PK parameters under consideration (log-transformed if necessary).
The expected values of these are under the usual model (without carry-over):
period
sequence 1 2 3
1 TRR µT+p1 µR+p2 µR+p3
2 RTR µR+p1 µT+p2 µR+p3
3 RRT µR+p1 µR+p2 µT+p3
where the pi are the period effects and µT and µR the formulation effects (means adjusted for period effects).The contrast
F=1/6{2*Y1.1-Y1.2-Y1.3
-Y2.1+2*Y2.2-Y2.3
-Y3.1-Y3.2+2*Y3.3}
is then an estimate of the difference between Test and Reference.
This estimate can be shown to have variance (derivation omitted due to length)
var(F)=1/6{1/n1 + 1/n2 + 1/n3}*sigma2e
where the ni are the number of subjects in the sequence groups and sigma2e the error variance (intra-subject).
With the same number of subjects in each sequence this reduces to
var(F)=1/2*(1/n)*sigma2e
=3/2*(1/N)*sigma2e
where N is now the total number of subjects.
This is the same as the variance of the appropriate contrast of sequence-by-period means for the usual 2x2x3 design (f.i. TRT/RTR) which is (see Chow, Liu "Design and Analysis of Bioavailability and Bioequivalence Studies", chapter 9.3.1)
var(F)=3/8*{1/n1 + 1/n2}*sigma2e
=3/4*(1/n)*sigma2e
=3/2*(1/N)*sigma2e
Thus we can use the design constant 1.5 also for the partial replicated design (sequences TRR/RTR/RRT)!
Or the rule 0.75*N for a 2x2 design, but now as a multiple of 3.
This concludes your definitive rehabilitation

Someone out there to prove me wrong?
BTW: The exact sample size for the partial replicate design assuming expected CV 40%, expected T/R 95%, target power 80% and BE margins 75%-133.333333% is N=27, achieved power=0.801380
BE margins 75%-133%: N=27, achieved power=0.799982
—
Regards,
Detlew
Regards,
Detlew
Complete thread:
- Scaled Average Bioequivalence graveendranath 2010-01-06 07:36 [Regulatives / Guidelines]
- RSABE (EU) Helmut 2010-01-06 17:01
- RSABE (EU) d_labes 2010-01-07 09:14
- RSABE (EU) Helmut 2010-01-07 13:21
- Sample size partial replicate design d_labes 2010-01-07 13:56
- Sample size partial replicate design Helmut 2010-01-07 14:23
- Sample size partial replicate design: df d_labes 2010-01-07 16:21
- Sample size partial replicate design: varianced_labes 2010-01-08 10:37
- Sample size partial replicate design Helmut 2010-01-07 14:23
- Sample size partial replicate design d_labes 2010-01-07 13:56
- RSABE (EU) Helmut 2010-01-07 13:21
- RSABE (EU) d_labes 2010-01-07 09:14
- RSABE (EU) Helmut 2010-01-06 17:01