balakotu
★    

India,
2015-09-24 13:55
(3504 d 05:46 ago)

Posting: # 15466
Views: 8,216
 

 Power Calculation for Replicate study designs [Power / Sample Size]

Dear all,

How to calculate power in Partial/full replicate BE studies by using SAS Program.

Regards,
Kotu
d_labes
★★★

Berlin, Germany,
2015-09-24 16:38
(3504 d 03:03 ago)

(edited on 2015-09-24 17:22)
@ balakotu
Posting: # 15467
Views: 6,624
 

 Power Calculation for Replicate study designs with SAS

Dear Kotu,

❝ How to calculate power in Partial/full replicate BE studies by using SAS Program.


We (both) had this question already in 2012 discussed w.r.t. to sample size estimation. Since sample size is based on power the former answer is still valid:

No out of the box solution in SAS :no: I'm aware of. Even not for a conventional 2x2 crossover.


But the add-on package PowerTOST for the statistical language R (free, open source) is much more mature at present time and contains suitable functions for power calculations for replicate designs for ABE decision as well as for scaled ABE decision.

BTW: Do us the favour and post in the appropriate category. There is one named Power / Sample size.


Edit: Category changed ! [Ohlbe]

Regards,

Detlew
Helmut
★★★
avatar
Homepage
Vienna, Austria,
2015-09-25 16:41
(3503 d 02:59 ago)

@ balakotu
Posting: # 15468
Views: 6,492
 

 Beware of the partial replicate

Hi Kotu,

❝ How to calculate power in Partial/full replicate BE studies by using SAS Program.


Why are you interested in (post hoc?) power? If you want to plan a new study (sample size) beware of the partial replicate design. Shit already happened to yourself. Forgotten this one? Either run a fully replicated 3-period (TRT|RTR) or modify the FDA's code to FA0(1).


I concur with Detlew's wish. 50% of your posts were in the wrong category. Is it really that difficult?

Dif-tor heh smusma 🖖🏼 Довге життя Україна! [image]
Helmut Schütz
[image]

The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
UA Flag
Activity
 Admin contact
23,424 posts in 4,927 threads, 1,673 registered users;
90 visitors (0 registered, 90 guests [including 1 identified bots]).
Forum time: 19:41 CEST (Europe/Vienna)

There are two possible outcomes: if the result confirms the
hypothesis, then you’ve made a measurement. If the result is
contrary to the hypothesis, then you’ve made a discovery.    Enrico Fermi

The Bioequivalence and Bioavailability Forum is hosted by
BEBAC Ing. Helmut Schütz
HTML5