Replicate Study Designs [Design Issues]
Dear Kotu!
- From a purely (!) statistical point of view a full replicate design is ‘better’ because you get not only insights on the reference’s intra-subject variability but also of the test’s.
- Not clear what you mean here. The pilot study should be a replicate as well (we have no Two-Stage Method yet). You should plan for power of 80–90%. Most people plan for 90% (best case: everything as expected) and try the keep the worst-case power (CV, PE, number of drop-outs) not far below 80%. Note that ‘classical’ sample size estimation is not applicable (GMR-restriction, 50% cut-off for EMA). Unless your set up your own simulations, see Endrényi & Tóthfalusi (2011).*
- See #1. One more period in the full replicate increases the chance of drop-outs. Might require to improve the bioanalytics (less plasma per individual sample since total blood volume in the study is limited to ~500 mL).
- See #3 and this presentation.
- László Endrényi, László Tóthfalusi
Sample Sizes for Designing Bioequivalence Studies for Highly Variable Drugs
J Pharm Pharmaceut Sci 15(1), 73–84 (2011)
online
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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
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The quality of responses received is directly proportional to the quality of the question asked. 🚮
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Complete thread:
- Replicate Study Designs balakotu 2012-07-09 09:16
- Replicate Study DesignsHelmut 2012-07-09 15:27
