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.
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Arthur Goldsipe
2020-1-15
0 个投票
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
3 个评论
Deni Hardiansyah
2020-1-20
Arthur Goldsipe
2020-1-20
Deni, I've relayed your request to the Statistics and Machine Learning team, since they are the currently maintaining the code for nonlinear mixed-effects modeling.
Deni Hardiansyah
2020-1-20
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