Complex Emax PD Model
[Generated automatically as a Tutorial summary]
Model Description
- Name:
emax_complex
- Title:
Complex Emax PD Model
- Author:
PoPy for PK/PD
- Abstract:
An complex emax PK/PD Model, based on the concentration of drug in the body.
The two compartment PK model uses previously estimated values of CL, V1, Q and V2 for each individual
The concentration in the central compartment influences the effect compartment along with EMAX (the maximum effect), EC50 (the concentration at which the effect is half the maximum) using a hill equation.
- Keywords:
pkpd
- Input Script:
- Diagram:
Comparison
True objective value
305.2694
Final fitted objective value
301.5421
Compare Main f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
|---|---|---|---|---|---|
f[EMAX] |
100 |
105 |
80 |
2.51e+01 |
31.37% |
f[E50] |
10 |
47.6 |
20 |
2.76e+01 |
138.22% |
f[GAMMA] |
1 |
0.475 |
0.5 |
2.45e-02 |
4.91% |
Compare Noise f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
|---|---|---|---|---|---|
f[ANOISE] |
5 |
2.75 |
3 |
2.49e-01 |
8.29% |
Compare Variance f[X]
No Variance f[X] values to compare.
Outputs
Fitted f[X] values (after fitting)
f[EMAX] = 105.0956
f[E50] = 47.6442
f[GAMMA] = 0.4755
f[ANOISE] = 2.7512
Generated data .csv file
- Synthetic Data:
Gen and Fit Summaries
Gen: Complex Emax PD Model (gen)
Fit: Complex Emax PD Model (fit)
Inputs
True f[X] values (for simulation)
f[EMAX] = 80.0000
f[E50] = 20.0000
f[GAMMA] = 0.5000
f[ANOISE] = 3.0000
Starting f[X] values (before fitting)
f[EMAX] = 100.0000
f[E50] = 10.0000
f[GAMMA] = 1.0000
f[ANOISE] = 5.0000