LSMeans? [Regulatives / Guidelines]
Dear EM, dear Helmut,
First thanx for your thoughts.
@ EM:
Do you really won't me to do a model fit (which if we are allowed to only consider Reference AUC values?) for the log-transformed values, leaving out each subjects values in turn, and then apply the 5% criterion via exponentiated LSmeans?
My first thought was simpler: Calculate the geometric means leaving out each subjects values in turn and then calculate the percentage of the individual value versus geometric mean (i.e. taken the guidance text literally).

What the hell do you have against geometric means? Enlighten me.
First thanx for your thoughts.
@ EM:
❝ ❝ -What is the geometric mean in replicate cross-over studies? Overall or calculated for each replicate?
❝ They mean lsmeans or model effects, I hope ...
Do you really won't me to do a model fit (which if we are allowed to only consider Reference AUC values?) for the log-transformed values, leaving out each subjects values in turn, and then apply the 5% criterion via exponentiated LSmeans?My first thought was simpler: Calculate the geometric means leaving out each subjects values in turn and then calculate the percentage of the individual value versus geometric mean (i.e. taken the guidance text literally).
❝ Pick the one that fits.
❝ "Geometric mean" is a term that should be banned ...

What the hell do you have against geometric means? Enlighten me.
—
Regards,
Detlew
Regards,
Detlew
Complete thread:
- EMA - Exclusion of data d_labes 2012-01-24 11:09 [Regulatives / Guidelines]
- EMA - Exclusion of data Helmut 2012-01-24 15:53
- EMA - Exclusion of data ElMaestro 2012-01-24 16:47
- LSMeans?d_labes 2012-01-26 08:34
- LSMeans? ElMaestro 2012-01-26 13:22
- LSMeans?d_labes 2012-01-26 08:34
