[R-sig-ME] [R] linear mixed model required for the U.S. FDA
Thierry Onkelinx
th|erry@onke||nx @end|ng |rom |nbo@be
Mon Aug 19 14:13:22 CEST 2019
Please do check all parameters. I recall that SAS and R use a different
style of dummy coding factor variable.
If that is not the case, please write the full equation for the SAS model.
The language of mathematics is the best way to clearly describe a model and
thus to compare models.
Best regards,
ir. Thierry Onkelinx
Statisticus / Statistician
Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND
FOREST
Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance
thierry.onkelinx using inbo.be
Havenlaan 88 bus 73, 1000 Brussel
www.inbo.be
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Op ma 19 aug. 2019 om 13:30 schreef Helmut Schütz <helmut.schuetz using bebac.at>:
> Dear Thierry,
>
> amazing!
> However, the PE obtained by exp(summary(model3)$fixed["treatmentT",
> "mean"]) is with 1.157428 even more off from the /desired/ 1.1565764
> than lmer’s 1.1572982.
>
> Best,
> Helmut
>
> --
> Ing. Helmut Schütz
> BEBAC – Consultancy Services for
> Bioequivalence and Bioavailability Studies
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