CVwR ~ CVwT ~ CVw? [Power / Sample Size]
Dear Captain,
I had only an idea with no connection to reality.
Data of R with the same properties but shifted to different mean, for example 1.05. So I expected intra-subject CV for T data close to zero and intra-subject CV for R data close to zero also. But when we pool the T and R data together, there will be higher differences in the data, so I expected the higher intra-subject CV for all (pooled) data than for T or R data separately.
So the point was completely in theoretical way with the description of example which provides the proof of higher CVw.
Since Helmut simulated better data. - Thanks! - The description is not needed now.
Helmut's simulated data are much more normal than data in my mind. So I suggest to look only on Helmut's data as an example of data where CVw is higher than CVwT and CVwR.
Best regards,
zizou
Note (to be deleted): typo error in Helmut's simulated data summary
Edit: THX, done. [Helmut]
I had only an idea with no connection to reality.
❝ ❝ Theoretically I can imagine (no real) data of 2x2x4 replicate study - see following idea:
Data of R with the same properties but shifted to different mean, for example 1.05. So I expected intra-subject CV for T data close to zero and intra-subject CV for R data close to zero also. But when we pool the T and R data together, there will be higher differences in the data, so I expected the higher intra-subject CV for all (pooled) data than for T or R data separately.
So the point was completely in theoretical way with the description of example which provides the proof of higher CVw.
Since Helmut simulated better data. - Thanks! - The description is not needed now.
❝ ❝ So GMR T/R of all "pooled" data will be close to 0.95/(1/0.95)=0.95^2=0.9025 and CVw used for CI calculation will be higher than CVwT and CVwR?
❝ Does that follow automatically? How? Why? CVw used for CI calculation is a dangerous term when we talk EMA?
❝ I tried to look at Helmut's simulated data and could still not figure it out.
Helmut's simulated data are much more normal than data in my mind. So I suggest to look only on Helmut's data as an example of data where CVw is higher than CVwT and CVwR.
Best regards,
zizou
Note (to be deleted): typo error in Helmut's simulated data summary
❝ GLSM 0.9542 (T), 1.0480 (R), PE 0.9104.
Edit: THX, done. [Helmut]
Complete thread:
- Estimation within-subject CV Mikkabel 2017-07-07 10:13 [Power / Sample Size]
- Estimation within-subject CV ElMaestro 2017-07-07 10:17
- CVwR ~ CVwT ~ CVw? Helmut 2017-07-07 16:09
- CVwR ~ CVwT ~ CVw? zizou 2017-07-08 15:29
- CVwR = CVwT < CVw‽ Helmut 2017-07-08 16:45
- 'whatif' plotting from 4X2 to 2X2 mittyri 2017-07-08 23:47
- CVwR ~ CVwT ~ CVw? ElMaestro 2017-07-09 00:16
- CVwR ~ CVwT ~ CVw?zizou 2017-07-09 02:13
- CVwR = CVwT < CVw‽ Helmut 2017-07-08 16:45
- CVwR ~ CVwT ~ CVw? zizou 2017-07-08 15:29