How to implement multiple error model?

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Deni Hardiansyah 2020-1-14

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https://ww2.mathworks.cn/matlabcentral/answers/500192-how-to-implement-multiple-error-model

评论： Deni Hardiansyah 2020-1-20

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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Answer 1

Arthur Goldsipe 2020-1-15

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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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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