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Thanks HS,
What Yicaoting then needs is a kind of formula which can render the SE of a mean difference and which allow missing values, hence an maxlikelihood-based solution.
I googled a bit around now and I cannot find it. I am sure this is straightforward given a varcovar matrix for anyone equipped with a brain marginally larger than a walnut, but because of my genetic makeup (intelligence-wise I can only compete with certain amoeba) I am just not capable of deriving it.
EM.
❝ Right guess. Phoenix/WinNonlin’s default in BE is:
❝ fixed: Sequence+Formulation+Period
❝ Random: Subject(Sequence)
What Yicaoting then needs is a kind of formula which can render the SE of a mean difference and which allow missing values, hence an maxlikelihood-based solution.
I googled a bit around now and I cannot find it. I am sure this is straightforward given a varcovar matrix for anyone equipped with a brain marginally larger than a walnut, but because of my genetic makeup (intelligence-wise I can only compete with certain amoeba) I am just not capable of deriving it.
EM.
Complete thread:
- Least Square Means (LSM) for incomplete data yicaoting 2011-10-07 18:27
![[Mix]](https://static.bebac.at/img/mix.png "open in Mix view")
- Least Square Means (LSM) for incomplete data ElMaestro 2011-10-07 21:00
- random vs. fixed Helmut 2011-10-07 21:35
- random vs. fixedElMaestro 2011-10-07 23:18
- random vs. fixed Helmut 2011-10-08 14:48
- random vs. fixed ElMaestro 2011-10-08 15:26
- random vs. fixed Helmut 2011-10-08 16:02
- random vs. fixed ElMaestro 2011-10-08 15:26
- random vs. fixed Helmut 2011-10-08 14:48
- random vs. fixedElMaestro 2011-10-07 23:18
- random vs. fixed Helmut 2011-10-07 21:35
- Least Square Means (LSM) for incomplete data ElMaestro 2011-10-07 21:00
Ing. Helmut Schütz