Power and type I adjustment for 222BE when several PK prams considered [General Statistics]
Hi all,
can we take one step back and discuss what we are really trying to achieve here? Forget for a moment the famous theorems and equations and think practically.
Ratios of Cmax and AUC are correlated within studies. No doubt about it. Increase Cmax and AUC increases, all other factors equal, and vice versa.
It would perhaps be good if we could some model that via some rho so that we could calculate a slightly higher sample size to take into consideration that both ratios must pass the 80.00%- 125.00% criterion.
But I never heard a sponsor or CRO really express that need in a specific manner. I never saw a study failing on one metric and passing on the other and where someone afterwards thought she/he should have taken the correlation into consideration and all would have been good.
Bear in mind also that both test and reference batches of any product have variation within and between. The latter is almost never explored but it is generally higher than within, as usual. Both, whether estimable/measurable or not, will be reflected in the rho we can observe and thus we may have to take that into consideration too.
The exact same issue applies to the papers that try to express a general opinion about product A vs product C, when product A has been tested against product B, and B has been tested against C. It is a matter authors have managed to tiptoe elegantly around and certainly not something anyone wants to get mixed up in.
What I mean here is I am in doubt if we are discussing a practical problem. And secondly if this problem is practical, I am wondering if the treatment we can realistically give the issue changes much given all the underlying complexity.

can we take one step back and discuss what we are really trying to achieve here? Forget for a moment the famous theorems and equations and think practically.
Ratios of Cmax and AUC are correlated within studies. No doubt about it. Increase Cmax and AUC increases, all other factors equal, and vice versa.
It would perhaps be good if we could some model that via some rho so that we could calculate a slightly higher sample size to take into consideration that both ratios must pass the 80.00%- 125.00% criterion.
But I never heard a sponsor or CRO really express that need in a specific manner. I never saw a study failing on one metric and passing on the other and where someone afterwards thought she/he should have taken the correlation into consideration and all would have been good.
Bear in mind also that both test and reference batches of any product have variation within and between. The latter is almost never explored but it is generally higher than within, as usual. Both, whether estimable/measurable or not, will be reflected in the rho we can observe and thus we may have to take that into consideration too.
The exact same issue applies to the papers that try to express a general opinion about product A vs product C, when product A has been tested against product B, and B has been tested against C. It is a matter authors have managed to tiptoe elegantly around and certainly not something anyone wants to get mixed up in.
What I mean here is I am in doubt if we are discussing a practical problem. And secondly if this problem is practical, I am wondering if the treatment we can realistically give the issue changes much given all the underlying complexity.


—
Pass or fail!
ElMaestro
Pass or fail!
ElMaestro
Complete thread:
- Power and type I adjustment for 222BE when several PK prams considered Louis52 2018-02-07 21:04 [General Statistics]
- Power and type I adjustment for 222BE when several PK prams considered ElMaestro 2018-02-07 22:37
- Power of two combined TOST d_labes 2018-02-08 14:12
- The mysterious ρ Helmut 2018-02-08 21:40
- ρ ρ ρ your boat ElMaestro 2018-02-09 09:58
- ρ ρ ρ your boat Helmut 2018-02-09 19:20
- ...and a bonus question ElMaestro 2018-02-09 11:32
- ...and a bonus question Helmut 2018-02-09 19:43
- If u see a BEar don't forget to R oaρ Astea 2018-02-09 20:47
- package install failed d_labes 2018-02-11 13:23
- If u see a BEar don't forget to R oaρ Astea 2018-02-09 20:47
- ...and a bonus question Helmut 2018-02-09 19:43
- The mysterious ρ -between or within studies d_labes 2018-02-11 15:57
- The mysterious ρ -between or within studies Helmut 2018-02-11 17:31
- The mysterious ρ -between or within studies d_labes 2018-02-11 19:21
- The mysterious ρ within studies Helmut 2018-02-11 22:44
- The mysterious ρ within studies nobody 2018-02-12 09:08
- The mysterious ρ within studies Helmut 2018-02-11 22:44
- The mysterious ρ -between or within studies d_labes 2018-02-11 19:21
- The mysterious ρ -between or within studies Astea 2018-02-11 17:34
- The mysterious ρ -between or within studies d_labes 2018-02-11 19:36
- The mysterious ρ within studies Helmut 2018-02-11 22:48
- The mysterious ρ -between or within studies Helmut 2018-02-11 17:31
- ρ ρ ρ your boat ElMaestro 2018-02-09 09:58
- The mysterious ρ Helmut 2018-02-08 21:40
- Power and type I adjustment for 222BE when several PK prams consideredElMaestro 2018-02-11 18:43
- Power and type I adjustment for 222BE when several PK prams considered nobody 2018-02-12 09:10
- reminds me of something ElMaestro 2018-02-12 09:18
- reminds me of something nobody 2018-02-12 09:38
- Hammer to fall Astea 2018-02-12 18:37
- Put the sickle to the corn Helmut 2018-02-13 01:37
- Put the sickle to the corn Astea 2018-02-13 08:27
- Put the sickle to the corn Helmut 2018-02-13 12:45
- Put the sickle to the corn Relaxation 2018-02-13 10:37
- multiple units, lag-times Helmut 2018-02-13 13:31
- Put the sickle to the corn Astea 2018-02-13 08:27
- Put the sickle to the corn Helmut 2018-02-13 01:37
- Hammer to fall Astea 2018-02-12 18:37
- reminds me of something nobody 2018-02-12 09:38
- reminds me of something ElMaestro 2018-02-12 09:18
- Power and type I adjustment for 222BE when several PK prams considered nobody 2018-02-12 09:10