How can I estimate PD parameters for two - compartment model?
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I have a two compartment model with two types of dosing: PK dose and PD dose (scheduled).
I have mapped the data correctly, but my estimate is far off from the reference paper I was using as a prototype. I know thet fit program is for parameter estimate, however I dont know how to assign the baseline dose. Note, the model has no variant.
I do not know what excatly I am doing wrong, and i really do need help with this; been stuck with it for more than a week.
2 Comments
Arthur Goldsipe
on 12 Apr 2022
It's very difficult to figure out the problem without more details. Can you share the project you created and the results you are trying to reproduce?
BLESSING AKAH
on 12 Apr 2022
Accepted Answer
More Answers (1)
BLESSING AKAH
on 13 Apr 2022
0 votes
8 Comments
Arthur Goldsipe
on 13 Apr 2022
I wouldn't assume you've done anything wrong. It's very hard to reproduce the results in a publication unless the authors share complete details. This is especially important when you're trying to estimate parameters. Sometimes you will see that changing your parameter values does not singificantly affect the quality of the fit, so perhaps your estimated parameters are really just as good as the ones reported in the paper.
When I was in a similar situation, I contacted the authors and asked for code to reproduce their results. Many authors are happy to share that information. So if it's critical that you exactly reproduce their results, I suggest reaching out to the authors.
By the way, what's the paper? I can also see if anyone on my team is familiar with the paper and model.
BLESSING AKAH
on 13 Apr 2022
Arthur Goldsipe
on 14 Apr 2022
I took another look. I still don't think you're doing anything wrong. The authors did not provide enough information to replicate their estimation approach. In fact, I worry that their approach might not even be reproducible. The description in the paper is what I'd call "hand wavy." I'd summarize it as "we manually adjusted the parameters until some numbers and plots looked good."
And to answer your other questions, I think the relevant dosing is contained in the data, so I don't see any need for baseline dosing. And changing which states are logged should not affect the results of parameter estimation.
I also saw that the authors used version R2019a of MATLAB and SimBiology, so I opened their projects in that version. Even in that version, I could not reproduce the results they reported in the paper when running the fit programs in their projects. I also noticed that the authors' project files do not include any results from running fit programs. This also suggests to me that the reported parameter estimates were NOT obtained by running fit programs in SimBiology.
BLESSING AKAH
on 14 Apr 2022
Arthur Goldsipe
on 14 Apr 2022
Hi,
My parameter estimates for the exponential error model are w0=0.0370, k1=0.0548, and k2=9.8666.
My parameter estimates for the constant error model are w0=0.0383, k1=0.1825, and k2=11.8121.
I'm attaching my project, which I created in R2021b, by adding two programs (Fit Data_exponential_error and Fit Data_constant_error) to the project you shared.
-Arthur
BLESSING AKAH
on 14 Apr 2022
Arthur Goldsipe
on 15 Apr 2022
Oh, glad I attached the project so that you could catch my mistake with the error model.
I'm sorry, but I don't have time to read the paper closely enough to figure out whether there's some missing data or dosing information. I suggest contacting the authors, since they would know best. I see contact information listed at the end of the paper.
If you figure out what's going on, I'd love to hear more about it. Feel free to contact me directly.
BLESSING AKAH
on 15 Apr 2022
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