FDA Progesterone on HVD vs Endrenyi [RSABE / ABEL]
welcome to the forum!
That’s very interesting, inasmuch the progesterone guidance specifically states:
For detailed information on this approach, please refer to the published book chapter, Davit B, Conner D. Reference-scaled average bioequivalence approach. In: Kanfer I, Shargel L, eds. Generic Drug Product Development – International Regulatory Requirements for Bioequivalence. New York, NY: Informa Healthcare, 2010: 271-272.
❝ I cross-checked the L. Endrenyi/L Tothfalusi chapter in Kanfer/Shargel’s book “Generic Drug Product Development”…
I don’t have this book; stupid question: Are you sure that you are dealing with the right chapter (see above)?
❝ … and found a difference …
❝ I tried now to simulate data in EXCEL to find out, which one is correct and calculated a “third” way of concluding BE: simply the exponentiated CI for the difference of the means using the SE of the differences.
❝ Instead of solving the problem, I have now 3 (slightly) differing results; This might be due to simple programming mistake but I couldn’t find them up to now;
With EMA’s full replicate data set I got in Phoenix/WinNonlin (6.3 beta RC3):
FDA’s code
Estimate 0.143765
StdError 0.0490802
sWR 0.446446
>0.294, scaling allowedpointest 1.15461
x 0.0182596
boundx 0.0509076
critbound -0.0920763
≤0, RSABE demonstratedOf course we could calculate a 90% CI of the PE (
1.06386–1.25311
) but this doesn’t help – there’s no widening of the acceptance range like for the EMA. FDA’s unscaled mixed effects model gives 1.0710–1.2489
; EMA’s Method A 1.0711–1.2489
and Method B 1.0711–1.2497
.Now let’s see:
\(E_m=(\mu_T-\mu_R)^2\)
\(E_s={\theta_{s}}^{2}\cdot {\sigma_{w}}^{2}\) (the FDA’s switching condition \({\theta_{s}}^{2}\) is 0.893 = CV of ~25.83%!)
\(C_m=(|m_T - m_R|+t_{\alpha,N-S}\cdot SE)^2\)
\(C_s={\theta_{s}}^{2} \cdot (N-S) \cdot {\sigma_{w}}^{2}/{\chi_{\alpha,N-S}}^{2}\)
\(L_m=(C_m-E_m)^2\)
\(L_s=(C_s-E_s)^2\)
\(CL=E_m-E_s+\sqrt{(L_m+L_s)}\)
I got (quick and dirty as always):
Em 0.0206685
Es 0.148147
Cs 0.113948
Cm 0.0509076
Lm 0.000914403
Ls 0.00116952
CL 0.214465
(ℯ0.214465 = 1.23920)
Dif-tor heh smusma 🖖🏼 Довге життя Україна!
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Helmut Schütz
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The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Complete thread:
- FDA Progesterone on HVD vs Endrenyi FI 2012-03-09 13:50
- FDA Progesterone on HVD vs EndrenyiHelmut 2012-03-09 16:36
- All the answers to questions never asked are here d_labes 2012-03-10 16:49
- Which book? Helmut 2012-03-17 14:46
- Which book? FI 2012-03-19 20:15
- Which book? FI 2012-04-02 11:07
- To standard err is also human d_labes 2012-04-03 10:56