Randomization for Replicate design studies [Design Issues]
Hi MMW,
More information, please. Will this be a pilot study where you want to select one of the candidates or a pivotal study (say, T1 is a tablet, T2 a capsule and you want to market both)?
❝ Once of the clients want to conduct the partial replicate BE study with two test products (T1 & T2) in comparison with reference product (R).
More information, please. Will this be a pilot study where you want to select one of the candidates or a pivotal study (say, T1 is a tablet, T2 a capsule and you want to market both)?
- For the former see this presentation (slide 22).
- For the latter employ the same design but adjust for multiplicity (i.e., 95% CI, slide 23).
If you expect a CVwR <43% the Type I Error might be inflated. You can iteratively adjust α (see here and there) with the R-packagePowerTOST
. CallscABEL.ad(alpha = 0.025, design = "2x3x3", ...)
, where in...
you provide the observed CVwR and sample size (in the case of drop-outs: subjects/sequence). In case of unbalanced sequences use the argumentsdsims = TRUE
(slower but more accurate).
—
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Helmut Schütz
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Dif-tor heh smusma 🖖🏼 Довге життя Україна!
![[image]](https://static.bebac.at/pics/Blue_and_yellow_ribbon_UA.png)
Helmut Schütz
![[image]](https://static.bebac.at/img/CC by.png)
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Complete thread:
- Randomization for Replicate design studies mmw 2020-04-18 13:43 [Design Issues]
- Randomization for Replicate design studiesHelmut 2020-04-20 12:18
- Randomization for Replicate design studies mmw 2020-04-28 09:27
- Randomization for Replicate design studiesHelmut 2020-04-20 12:18