libaiyi
★    

China,
2018-06-28 13:47
(2488 d 04:49 ago)

Posting: # 18988
Views: 4,555
 

 How to calculate the sample size when we have 3 treatments? [Software]

Dear all,

I want to know how to calculate the sample size when there exists R, T1, T2 under 3*3 or 6*3 design?
Is there any software or R package available for statistical analysis of william design or 3*3 design when there exists R, T1, T2?

Thanks in advance.:-D
Helmut
★★★
avatar
Homepage
Vienna, Austria,
2018-06-28 14:57
(2488 d 03:38 ago)

@ libaiyi
Posting: # 18989
Views: 3,974
 

 Sample size estimation: PowerTOST

Hi libaiyi,

❝ Is there any R package available for statistical analysis of william design or 3*3 design when there exists R, T1, T2?


The function sampleN.TOST() of package PowerTOST. After installing/attaching in the R-console or the command window of R Studio type known.designs() to see what is covered. In sampleN.TOST() use the argument design (i.e., design="3x6x3" for the six-sequence Williams’ design or design="3x3" for the Latin Square).
For low to moderate CVs sample sizes will be identical.

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
d_labes
★★★

Berlin, Germany,
2018-06-28 15:30
(2488 d 03:05 ago)

@ libaiyi
Posting: # 18990
Views: 3,864
 

 Sample size for 3 treatments

Dear libaiyi,

additional to what Helmut has recommended:
Calling sampleN.TOST() with argument design="3x6x3" is appropriate if you aim for analyzing the data according to the "all at once" strategy.

If you analyze according to the "two at a time" strategy use design="2x2", the default for that argument.

Regards,

Detlew
UA Flag
Activity
 Admin contact
23,424 posts in 4,927 threads, 1,676 registered users;
33 visitors (0 registered, 33 guests [including 9 identified bots]).
Forum time: 18:36 CEST (Europe/Vienna)

It is true that many scientists are not philosophically minded
and have hitherto shown much skill and ingenuity
but little wisdom.    Max Born

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