binary_emax_PD_model
[Generated automatically as a Tutorial summary]
Model Description
- Name:
emax_binary
- Title:
binary_emax_PD_model
- Author:
PoPy for PK/PD
- Abstract:
An emax PK/PD Model, based on the amount of drug in the body.
The two compartment PK model with 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; binary response
- Input Script:
- Diagram:
Comparison
True objective value
89.8551
Final fitted objective value
88.9284
Compare Main f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
|---|---|---|---|---|---|
f[EMAX] |
100 |
80.1 |
80 |
1.06e-01 |
0.13% |
f[E50] |
10 |
20… |
20 |
4.75e-02 |
0.24% |
Compare Noise f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
|---|---|---|---|---|---|
f[ANOISE] |
0.5 |
0.947 |
1 |
5.34e-02 |
5.34% |
Compare Variance f[X]
No Variance f[X] values to compare.
Outputs
Fitted f[X] values (after fitting)
f[EMAX] = 80.1058
f[E50] = 20.0475
f[ANOISE] = 0.9466
Generated data .csv file
- Synthetic Data:
Gen and Fit Summaries
Gen: binary_emax_PD_model (gen)
Fit: binary_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] = 10.0000
f[ANOISE] = 0.5000