- Language: en
Direct PD Model¶
[Generated automatically as a Tutorial summary]
Inputs¶
Description¶
| Name: | direct_pd |
|---|---|
| Title: | Direct PD Model |
| Author: | Wright Dose Ltd |
| 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: |
Failed to create compartment diagram
True f[X] values¶
f[BASE] = 800
f[KOUT] = 0.03
f[ANOISE] = 0.5
Starting f[X] values¶
f[BASE] = 500
f[KOUT] = 0.1
f[ANOISE] = 5
Outputs¶
Generating and Fitting Summaries¶
- Gen: Direct PD Model (gen)
- Fit: Direct PD Model (fit)
Fitted f[X] values¶
f[BASE] = 800.04
f[KOUT] = 0.030005
f[ANOISE] = 0.4559
Plots¶
Comparison¶
True objective value¶
-52.6006391892
Final fitted objective value¶
-53.9698449263
Compare Main f[X]¶
| Name | Initial | Fitted | True | Prop. Error | Abs. Error |
|---|---|---|---|---|---|
| f[BASE] | 500 | 800… | 800 | 0.01% | 4.35e-02 |
| f[KOUT] | 0.1 | 0.03… | 0.03 | 0.02% | 5.43e-06 |
Compare Noise f[X]¶
| Name | Initial | Fitted | True | Prop. Error | Abs. Error |
|---|---|---|---|---|---|
| f[ANOISE] | 5 | 0.456 | 0.5 | 8.82% | 4.41e-02 |
Compare Variance f[X]¶
No Variance f[X] values to compare.