[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
Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance
thierry.onkelinx using inbo.be
Havenlaan 88 bus 73, 1000 Brussel

To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to say
what the experiment died of. ~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data. ~ Roger Brinner
The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of data.
~ John Tukey


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
> Neubaugasse 36/11
> 1070 Vienna, Austria
> W https://bebac.at/
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