Can anyone suggest a way in SAS to fit a probit dose-response
regression model with a second main effect, e.g.,

probit(response) = f(dose, lab, error)

where lab is a random effect?

Proc probit will allow the second main effect, but not, as far as I
can see, as a random effect.

There are so many procs (MIXED, NLMIXED, GLM...) I'm not sure where to
look.

Thanks in advance for any suggestions.

John Uebersax

On 9 Mrz., 01:12, John Uebersax <jsueber...@gmail.com> wrote:
> Can anyone suggest a way in SAS to fit a probit dose-response
> regression model with a second main effect, e.g.,
>
> probit(response) = f(dose, lab, error)
>
> where lab is a random effect?
>
> Proc probit will allow the second main effect, but not, as far as I
> can see, as a random effect.
>
> There are so many procs (MIXED, NLMIXED, GLM...) I'm not sure where to
> look.
>
> Thanks in advance for any suggestions.
>
> John Uebersax

Dear John,
as your response is binary, you should use PROC GLIMMIX. It allows a
probit link for the linear predictor and random lab effects.
PROC NLMIXED would also be an option, however, you would have to code
the probit likelihood yourself. PROC MIXED is only suited for
continuous responses.

Hope that helps,
Oliver