CVtotal ≠ CVinter № 42 [Power / Sample Size]
Dea-maidin Angus!
Forget it (will tell you later why).
OK, could do the job.
Nope. You have the total variance. See this post.
Haven’t used NCSS for years. Maybe residual variance?
That’s an approximation. Use \(100\sqrt{e^{MSE}-1}\) like you would do in a Xover.
If you using the formula above, no problem. Now a warning (see this presentation; some more stuff here). Though the t-test is fairly robust if the two groups show unequal variances, it is sensitive against imbalance.* The outcome will be liberal (CI too narrow).
So you asked one question (the CV) and get another answer: WinNonlin (up to the latest release of Phoenix 6.3) gives the CI based on the t-test for equal variances – even if you select “Satterthwaite degrees of freedom” in the options. That’s a bug.
Search the forum for some background information.
❝ I have the program WinNonlin…
Forget it (will tell you later why).
❝ …and another program that does ANOVA (NCSS)
OK, could do the job.
❝ I believe I need to have the inter-subject variance of the PK paramater.
Nope. You have the total variance. See this post.
❝ I use the LN values of the PK paramater. So I think a one way ANOVA is appropriate and what is the correct name of the inter subject variance paramater given by the ANOVA output?
Haven’t used NCSS for years. Maybe residual variance?
❝ I am on the LN scale so I think I take the square root of the intersubject variance paramater and multiply by 100 to get the CV as percentage.
That’s an approximation. Use \(100\sqrt{e^{MSE}-1}\) like you would do in a Xover.
❝ Please can I be advised of the terminology and if I am doing the correct calculation.
If you using the formula above, no problem. Now a warning (see this presentation; some more stuff here). Though the t-test is fairly robust if the two groups show unequal variances, it is sensitive against imbalance.* The outcome will be liberal (CI too narrow).
So you asked one question (the CV) and get another answer: WinNonlin (up to the latest release of Phoenix 6.3) gives the CI based on the t-test for equal variances – even if you select “Satterthwaite degrees of freedom” in the options. That’s a bug.
Search the forum for some background information.- In your case with 12/12 per group no big deal. But use the right model. Follow FDA’s guidance.

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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:
- parallel group design Sample size AngusMcLean 2013-01-11 02:19
- CVtotal ≠ CVinter № 42Helmut 2013-01-11 03:04
- CVtotal ≠ CVinter № 42 AngusMcLean 2013-01-11 17:34
- CVtotal ≠ CVinter № 42 Helmut 2013-01-11 17:59
- CVtotal ≠ CVinter № 42 AngusMcLean 2013-01-12 15:31
- CVtotal ≠ CVinter № 42 Helmut 2013-01-11 17:59
- CVtotal ≠ CVinter № 42 AngusMcLean 2013-01-11 17:34
- CVtotal ≠ CVinter № 42Helmut 2013-01-11 03:04
