Direct PD Model¶
[Generated automatically as a Tutorial summary]
Model Description¶
| Name: | direct_pd |
|---|---|
| Title: | Direct PD Model |
| Author: | PoPy for PK/PD |
| Abstract: |
A simple direct PD Model, based on the amount of drug in the body.
The amount in the central compartment is determined by K, which has been previously estimated for each individual.
The amount in the central compartment influences the rate of removal of a biomarker (KOUT).
| Keywords: | pd; one compartment model; direct |
|---|---|
| Input Script: | direct_pd_tut.pyml |
| Diagram: |
Comparison¶
True objective value¶
-52.6006
Final fitted objective value¶
460.5766
Compare Main f[X]¶
| Name | Initial | Fitted | True | Abs. Error | Prop. Error |
|---|---|---|---|---|---|
| f[BASE] | 500 | 800… | 800 | 4.99e-02 | 0.01% |
| f[KOUT] | 0.1 | 0.03… | 0.03 | 5.52e-06 | 0.02% |
Compare Noise f[X]¶
| Name | Initial | Fitted | True | Abs. Error | Prop. Error |
|---|---|---|---|---|---|
| f[ANOISE] | 5 | 9.99 | 0.5 | 9.49e+00 | 1898.45% |
Compare Variance f[X]¶
No Variance f[X] values to compare.
Outputs¶
Fitted f[X] values (after fitting)¶
f[BASE] = 800.0499
f[KOUT] = 0.0300
f[ANOISE] = 9.9922
Generated data .csv file¶
| Synthetic Data: | synthetic_data.csv |
|---|
Gen and Fit Summaries¶
- Gen: Direct PD Model (gen)
- Fit: Direct PD Model (fit)