R/PowerTOST or Lászlós’ tables [Power / Sample Size]
❝ […] appropriate sample size for a drug […] having T/R = 0.90 and % CVintra = 60 for a Reference Replicated Pivotal BE study (3 period)? We opt for 80% power...!!!
Which regulation: FDA or EMA?
- FDA
sampleN.RSABE(theta0=0.9, CV=0.6, design="2x3x3", details=FALSE)
++++++++ Reference scaled ABE crit. +++++++++
Sample size estimation
---------------------------------------------
Study design: 2x3x3
log-transformed data (multiplicative model)
1e+05 studies simulated.
alpha = 0.05, target power = 0.8
CVw(T) = 0.6; CVw(R) = 0.6
Null (true) ratio = 0.9
ABE limits / PE constraints = 0.8 ... 1.25
Sample size
n power
33 0.817090
- EMA
require(PowerTOST)
sampleN.scABEL(theta0=0.9, CV=0.6, design="2x3x3", details=FALSE)
+++++++++++ scaled (widened) ABEL +++++++++++
Sample size estimation
---------------------------------------------
Study design: 2x3x3
log-transformed data (multiplicative model)
1e+05 studies simulated.
alpha = 0.05, target power = 0.8
CVw(T) = 0.6; CVw(R) = 0.6
Null (true) ratio = 0.9
ABE limits / PE constraints = 0.8 ... 1.25
Regulatory body: EMA
- CVswitch = 0.3, cap on ABEL if CV > 0.5
- Regulatory constant = 0.76
Sample size search
n power
48 0.814780
sampleN.RSABE
) is not available in the current official release of PowerTOST
(v1.1-00). I used a private copy of 1.1-01 provided by Detlew. I guess he will upload it to CRAN returning from his vacation in two weeks. In the meantime see the approximation in v1.1-00:require(PowerTOST)
sampleN.scABEL(theta0=0.9, CV=0.6, design="2x3x3", regulator="FDA", details=FALSE)
+++++++++++ scaled (widened) ABEL +++++++++++
Sample size estimation
---------------------------------------------
Study design: 2x3x3
log-transformed data (multiplicative model)
1e+05 studies simulated.
alpha = 0.05, target power = 0.8
CVw(T) = 0.6; CVw(R) = 0.6
Null (true) ratio = 0.9
ABE limits / PE constraints = 0.8 ... 1.25
Regulatory body: FDA
Sample size
n power
30 0.800130
See also Tóthfalusi and Endrényi (2011)* – Tables A1 and A3 for GMR 0.9, CV 60%, 80% power:
EMA: 46 (round up to the next multiple of three: 48)
FDA: 31 (round up to the next multiple of three: 33)
- Tóthfalusi L and L Endrényi
Sample Sizes for Designing Bioequivalence Studies for Highly Variable Drugs
J Pharm Pharmaceut Sci 15(1), 73–84 (2011)
online
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Helmut Schütz
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Science Quotes
Complete thread:
- Sample Size Case hiren379 2013-02-19 14:40 [Power / Sample Size]
- R/PowerTOST or Lászlós’ tablesHelmut 2013-02-19 15:22
- R/PowerTOST or Lászlós’ tables Ken Peh 2013-02-20 12:45
- R/PowerTOST and other packages Helmut 2013-02-20 14:04
- R/PowerTOST and other packages Ken Peh 2013-02-24 09:38
- R’s packages Helmut 2013-02-24 17:00
- load() ? d_labes 2013-02-28 21:20
- load() ??? Helmut 2013-03-01 16:22
- load() ? d_labes 2013-02-28 21:20
- R’s packages Helmut 2013-02-24 17:00
- R/PowerTOST and other packages Ken Peh 2013-02-24 09:38
- R/PowerTOST and other packages Helmut 2013-02-20 14:04
- R/PowerTOST or Lászlós’ tables Ken Peh 2013-02-20 12:45
- R/PowerTOST or Lászlós’ tablesHelmut 2013-02-19 15:22