FDA: crystal ball [Regulatives / Guidelines]
Hi Mahesh,
Which partial AUC do you have in mind? Especially demonstrating low variability in distribution gives me headaches. Sanofi didn’t have the balls to come up with values of cut-off variabilities (plural!). Why the heck did they state <X% for low and ≥Y% for high CV? What’s in between? Case-by-case, pick out the best? The FDA is concerned only about high variability and I guess they mean a CVw of 30%.
❝ ❝ #2 is strange. Where would one get the X and Y from?
❝
❝ Can we use our pilot study data (CV % for partial AUC from pilot study) to support truncated design in pivotal study.
Which partial AUC do you have in mind? Especially demonstrating low variability in distribution gives me headaches. Sanofi didn’t have the balls to come up with values of cut-off variabilities (plural!). Why the heck did they state <X% for low and ≥Y% for high CV? What’s in between? Case-by-case, pick out the best? The FDA is concerned only about high variability and I guess they mean a CVw of 30%.
—
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. 🚮
Science Quotes
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:
- truncated design Mahesh M 2015-12-29 11:21 [Regulatives / Guidelines]
- FDA: AUC0–72 Helmut 2015-12-29 13:12
- FDA: AUC0–72 Mahesh M 2015-12-29 13:51
- FDA: crystal ballHelmut 2015-12-29 15:43
- FDA: crystal ball Averroes 2016-05-27 00:01
- FDA: crystal ballHelmut 2015-12-29 15:43
- FDA: AUC0–72 Mahesh M 2015-12-29 13:51
- FDA: AUC0–72 Helmut 2015-12-29 13:12