Common variance! [Design Issues]
❝ Thinking it over I would expect that the FDA will not like this approach. What if it’s the other way ’round? Three tests; T1 and T2 perform bad in terms of their PEs whilst T3 is fine. Now let’s assume that s²WT1=s²WT2=s²WR ≪ s²WT3. The pooled s²W will be ‘dampened’ by the (later dropped) formulations T1 and T2. In other words you would never be able to demonstrate BE of T1 in a 2-way XOver of the same size. Though theses variances are not accessible in a nonreplicate design I think that the FDA wouldn’t like the idea of approving a product with a potential ‘variance-brake’ in the pivotal study.
Totally agree. Could I hypothetically strip the two treatments (successful test formulation and the reference) and re-run stats in a two-way crossover fashion to re-evaulate the data? Would that stand a chance with regulatory? Just a thought...
Thanks
John
Complete thread:
- Curiosity: Running BE studies with more than 2 arms jag009 2012-06-11 15:01 [Design Issues]
- Common variance! Helmut 2012-06-11 16:23
- Common variance! jag009 2012-06-11 17:25
- Common variance! Helmut 2012-06-11 17:35
- Common variance! jag009 2012-06-11 20:03
- Common variance! ElMaestro 2012-06-11 20:34
- Common variance! Helmut 2012-06-12 01:03
- Common variance! ElMaestro 2012-06-12 13:22
- Common variance! Helmut 2012-06-12 01:03
- Common variance! ElMaestro 2012-06-11 20:34
- Common variance! jag009 2012-06-11 20:03
- Common variance! Helmut 2012-06-11 17:35
- Common variance!jag009 2012-06-12 19:56
- What if I run a study with 2 references? jag009 2012-06-12 20:00
- Common variance! Helmut 2012-06-12 20:39
- Two References d_labes 2012-06-13 09:11
- Two References jag009 2012-09-10 22:48
- Two treatments only d_labes 2012-09-11 08:20
- Two References jag009 2012-09-10 22:48
- Two References d_labes 2012-06-13 09:11
- Common variance! jag009 2012-06-13 16:08
- Common variance! jag009 2012-06-11 17:25
- Common variance! Helmut 2012-06-11 16:23