T vs. R1 and T vs. R2 [Design Issues]
❝ […] study with 3 arms where 1 arm is test product, 2nd arm is US (RLD) & third arm is UK (RLD)
<nitpick>
There are no “reference-listed drugs” in Europe.
A product can be either approved via the centralised procedure (directly at the EMA) – then it might by called a “European reference product” (though this term doesn’t officially exist) – or it can be approved via the decentralised procedure (one country acting as the reference member state and others as concerned member states).
In either case you can use any one of the local products marketed in the EEA (EU + Iceland, Norway, Liechtenstein).
I don’t recommend a reference product from the UK unless you are very fast (see this post).
❝ whether this is permitted & acceptable to both the regulatory authorities.
Sure. For the evaluation I suggest avoiding a pooled analysis (i.e., based on a common variance in ANOVA) but exclude the respective other treatment from the analysis (whilst keeping the codes for period and sequence) – resulting in two incomplete block designs (one for the comparison of T with one of the European originator’s products and the other one for the comparison of T with the US RLD).
┌────────────┐ → ┌────────────┐ and ┌────────────┐
│ p1 p2 p3 │ │ p1 p2 p3 │ │ p1 p2 p3 │
┌────┼────────────┤ ┌────┼────────────┤ ┌────┼────────────┤
│ s1 │ T EU US │ │ s1 │ T EU · │ │ s1 │ T · US │
│ s2 │ EU US T │ │ s2 │ EU · T │ │ s2 │ · US T │
│ s3 │ US T EU │ │ s3 │ · T EU │ │ s3 │ US T · │
│ s4 │ T US EU │ │ s4 │ T · EU │ │ s4 │ T US · │
│ s5 │ EU T US │ │ s5 │ EU T · │ │ s5 │ · T US │
│ s6 │ US EU T │ │ s6 │ · EU T │ │ s6 │ US · T │
└────┴────────────┘ └────┴────────────┘ └────┴────────────┘
In studies with more than two treatment arms (e.g. a three period study including two references, one from EU and another from USA […]), the analysis for each comparison should be conducted excluding the data from the treatments that are not relevant for the comparison in question.
… and this post.Don’t forget that for the FDA the ABE-model treats subjects as a random effect (e.g., by SAS
PROC MIXED
) whereas the EMA requires all effects fixed (e.g., by SAS PROC GLM
). Make that clear in the SAP.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:
- Regulatory submissions rajasekharkakarla 2018-09-14 14:13 [Design Issues]
- T vs. R1 and T vs. R2Helmut 2018-09-14 14:52
- T vs. R1 and T vs. R2 rajasekharkakarla 2018-09-17 06:57
- T vs. R1 and T vs. R2Helmut 2018-09-14 14:52