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:
- 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:
Gen and Fit Summaries
Gen: Direct PD Model (gen)
Fit: Direct PD Model (fit)
Inputs
True f[X] values (for simulation)
f[BASE] = 800.0000
f[KOUT] = 0.0300
f[ANOISE] = 0.5000
Starting f[X] values (before fitting)
f[BASE] = 500.0000
f[KOUT] = 0.1000
f[ANOISE] = 5.0000