- Language: en
- Documentation version: 1.3.1
Emax PD Model
[Generated automatically as a Tutorial summary]
Model Description
- Name:
emax_simple
- Title:
Emax PD Model
- Author:
PoPy for PK/PD
- Abstract:
A simple emax PKPD Model, based on the amount of drug in the body.
The two compartment PK model uses previously estimated values of K, K21 and K12 for each individual
The amount in the central compartment influences the effect compartment along with EMAX (the maximum effect) and EC50 (the amount at which the effect is half the maximum)
- Keywords:
PD; Pharmacodynamics; two compartment model; emax; EC50
- Input Script:
- Diagram:
Comparison
True objective value
169.1186
Final fitted objective value
163.2858
Compare Main f[X]
No Main f[X] values to compare.
Compare Noise f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
|---|---|---|---|---|---|
f[EMAX] |
100 |
81.9 |
80 |
1.88e+00 |
2.35% |
f[E50] |
50 |
20.7 |
20 |
7.07e-01 |
3.53% |
f[ANOISE] |
5 |
0.912 |
1 |
8.77e-02 |
8.77% |
Compare Variance f[X]
No Variance f[X] values to compare.
Outputs
Fitted f[X] values (after fitting)
f[EMAX] = 81.8815
f[E50] = 20.7067
f[ANOISE] = 0.9123
Generated data .csv file
- Synthetic Data:
Gen and Fit Summaries
Gen: Emax PD Model (gen)
Fit: Emax PD Model (fit)
Inputs
True f[X] values (for simulation)
f[EMAX] = 80.0000
f[E50] = 20.0000
f[ANOISE] = 1.0000
Starting f[X] values (before fitting)
f[EMAX] = 100.0000
f[E50] = 50.0000
f[ANOISE] = 5.0000