SABE or Normal BE? [RSABE / ABEL]
Hi Luv,
sorry for cutting in.
Wouldn’t matter since variabilities are compared by a one-sided test. In other words, the variability of the test must not be significantly larger than the one of the reference. Smaller is fine.
Nope. For CVWR 20% (σWR 0.1980422) limits are upscaled from 0.9/1.11111 to 0.8116742/1.232021. Then FARTSSIE agrees with
PowerTOST
FARTSSIE
But: For the FDA a full replicate design is mandatory anyway. Of course you are right for EMA where for some NTIDs (tacrolimus: AUC, ciclosporine: AUC and Cmax) the acceptance range is fixed to 90.00–111.11%.
I wouldn’t use FARTSIE for replicate designs any more because the sample size is estimated for a 2×2×2 design and afterwards set to 50% for full replicates and 75% for three-period designs. That’s just approximatively correct.
sorry for cutting in.
❝ ❝ FDA wants you to compare the intrasubject variation between test and reference which full replicate will give. […]
❝
❝ Just a thought, What if the variability in the reference product is higher than test?
Wouldn’t matter since variabilities are compared by a one-sided test. In other words, the variability of the test must not be significantly larger than the one of the reference. Smaller is fine.
❝ I tried using FARTSSIE 17 to do some random calculations
❝
❝ Lower Equivalence Limit 90.0%
❝ Upper Equivalence Limit 111.1%
❝ …
❝ Required Sample Size 168
Nope. For CVWR 20% (σWR 0.1980422) limits are upscaled from 0.9/1.11111 to 0.8116742/1.232021. Then FARTSSIE agrees with
PowerTOST
.PowerTOST
sampleN.TOST(CV=0.2,theta0=0.95, theta1=0.8116742, theta2=1.232021, design="2x2x2")
+++++++++++ Equivalence test - TOST +++++++++++
Sample size estimation
-----------------------------------------------
Study design: 2x2 crossover
log-transformed data (multiplicative model)
alpha = 0.05, target power = 0.8
BE margins = 0.8116742 ... 1.232021
Null (true) ratio = 0.95, CV = 0.2
Sample size (total)
n power
22 0.810558
FARTSSIE
Expected µT/µR Ratio 95%-105.3%
Lower Equivalence Limit 81.16742%
Upper Equivalence Limit 123.2021%
sw 0.1980422
n 22
n-2 20
t(1-alpha,n-2) 1.724718004
tau2 -4.353385162
tau1 2.635367015
Probt(2) 0.994693186
Probt(1) 0.184134808
1-b 0.810558378
Required Sample Size 22
But: For the FDA a full replicate design is mandatory anyway. Of course you are right for EMA where for some NTIDs (tacrolimus: AUC, ciclosporine: AUC and Cmax) the acceptance range is fixed to 90.00–111.11%.
❝ For A full replicate study […]
I wouldn’t use FARTSIE for replicate designs any more because the sample size is estimated for a 2×2×2 design and afterwards set to 50% for full replicates and 75% for three-period designs. That’s just approximatively correct.
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![[image]](https://static.bebac.at/pics/Blue_and_yellow_ribbon_UA.png)
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Complete thread:
- SABE or Normal BE? luvblooms 2013-02-19 05:07 [RSABE / ABEL]
- FDA: rSABE for NTIDs Helmut 2013-02-19 11:05
- SABE or Normal BE? jag009 2013-02-19 15:23
- Sample size? Helmut 2013-02-19 17:25
- SABE or Normal BE? luvblooms 2013-02-20 05:26
- SABE or Normal BE? jag009 2013-02-20 15:20
- SABE or Normal BE?Helmut 2013-02-20 15:45
- SABE or Normal BE? ElMaestro 2013-02-20 16:08
- SABE or Normal BE? jag009 2013-02-21 17:10
- FDA’s example data sets Helmut 2013-02-21 17:18
- FDA’s example data sets jag009 2013-02-21 20:14
- FDA’s example data sets Helmut 2013-02-21 22:42
- FDA’s example data sets jag009 2013-02-22 15:46
- FDA’s example data sets Helmut 2013-02-22 16:33
- FDA’s example data sets jag009 2013-02-22 15:46
- FDA’s example data sets Helmut 2013-02-21 22:42
- FDA’s example data sets jag009 2013-02-21 20:14
- FDA’s example data sets Helmut 2013-02-21 17:18
- SABE or Normal BE? jag009 2013-02-21 17:10
- SABE or Normal BE? ElMaestro 2013-02-20 16:08