EquivTest v1 / v2 / PK [Software]
Dear Yu!
Fascinating! I have both versions on my machine and will check it sometime...
In the case of an unbalanced study (n1 # n2) only the latter.
If the design is balanced (n1 = n2), the second formula reduces to the first one. In technical terms, the second one is wrong for unbalanced studies; the bias will depend on both the overall size of the study (n1+n2) and the degree of unbalance (ratio of n1/n2).
There are some examples in Chow & Liu (2001).
--
Edit: Sorry, I don't have version 1 any more. Both EquivTest02.00 (2001) and EquivTest/PK (2006) use the correct formula - which is also given in the manuals (look for TOST).
❝ I found the difference of mean calculation method between equivtest 1.0 and 2.0.
Fascinating! I have both versions on my machine and will check it sometime...

❝ Equivtest 1.0 calculates (mean_seq1+mean_seq2)/2 instead of {(mean_seq1*n1)+(mean_seq2*n2)}/(n1+n2). The company confirmed Equivtest 2.0 is right. Which is the right one in your opinion?
In the case of an unbalanced study (n1 # n2) only the latter.
❝ Is the other method absolutely wrong?
If the design is balanced (n1 = n2), the second formula reduces to the first one. In technical terms, the second one is wrong for unbalanced studies; the bias will depend on both the overall size of the study (n1+n2) and the degree of unbalance (ratio of n1/n2).
❝ I would also like to know the theoretical basis.
There are some examples in Chow & Liu (2001).
--
Edit: Sorry, I don't have version 1 any more. Both EquivTest02.00 (2001) and EquivTest/PK (2006) use the correct formula - which is also given in the manuals (look for TOST).
—
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
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:
- Mean calculation method in unbalanced cross-over study yckim 2008-05-27 15:04
- EquivTest v1 / v2 / PKHelmut 2008-05-27 15:41
- EquivTest v1 / v2 / PK yckim 2008-05-28 01:39
- Weighted mean Helmut 2008-05-28 11:55
- Least square mean d_labes 2008-05-28 16:35
- Least square mean yckim 2008-06-03 07:46
- Least square mean JPL 2008-06-03 09:10
- Least square mean vish14184 2008-06-04 06:54
- Least square mean JPL 2008-06-04 08:44
- Least square mean vish14184 2008-06-04 06:54
- Least square mean JPL 2008-06-03 09:10
- Least square mean yckim 2008-06-03 07:46
- Least square mean d_labes 2008-05-28 16:35
- Weighted mean Helmut 2008-05-28 11:55
- EquivTest v1 / v2 / PK yckim 2008-05-28 01:39
- EquivTest v1 / v2 / PKHelmut 2008-05-27 15:41