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How to implement multiple error model?

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Hallo,
I have been working on population and covariate projects using PBPK model for a while,
I just wonder, I have several data set (from organ and serum, I am working on nuclear medicine) and I would like to fit these data simultaneously, is it possible to set different error model to each data and estimate residual error from each data in Simbiology?
and I just thinking if this doesnt work, maybe I can just fix different residual error for each data (I derived this residual error from another source) and I am not fitting it during the fitting, is it possible to do this?
Thank you very much for your answer, looking forward to it.

Accepted Answer

Arthur Goldsipe
Arthur Goldsipe on 15 Jan 2020
It depends on whether you are doing nonlinear regression or nonlinear mixed-effects modeling. If you are doing nonlinear regression, you can use the ErrorModel option of sbiofit to specify a different error model for each response that you are fitting. For example, setting ErrorModel to {'constant', 'proportional'} will use a constant error model for the first response and a proportional error model for the second response.
Unfortunately, we don't yet the same capabilities in sbiofitmixed, if you are doing nonlinear mixed-effects modeling.
I hope that answers your question.
-Arthur
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