One Compartment Model with Absorption and Inter-subject Variance f[CL_isv]=0.2
[Generated automatically as a Tutorial summary]
Model Description
- Name:
d1cmp_cl_isv
- Title:
One Compartment Model with Absorption and Inter-subject Variance f[CL_isv]=0.2
- Author:
PoPy for PK/PD
- Abstract:
- Keywords:
one compartment model; dep_one_cmp_cl
- Input Script:
- Diagram:
Comparison
True objective value
-362.6880
Final fitted objective value
-371.3278
Compare Main f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
---|---|---|---|---|---|
f[KA] |
0.5 |
0.264 |
0.3 |
3.58e-02 |
11.92% |
f[CL] |
1 |
2.74 |
3 |
2.58e-01 |
8.61% |
f[V] |
15 |
19.2 |
20 |
8.02e-01 |
4.01% |
Compare Noise f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
---|---|---|---|---|---|
f[PNOISE_STD] |
0.2 |
0.113 |
0.1 |
1.31e-02 |
13.10% |
f[ANOISE_STD] |
0.2 |
0.0417 |
0.05 |
8.32e-03 |
16.64% |
Compare Variance f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
---|---|---|---|---|---|
f[CL_isv] |
0.01 |
0.165 |
0.2 |
3.53e-02 |
17.65% |
Outputs
Fitted f[X] values (after fitting)
f[KA] = 0.2642
f[CL] = 2.7416
f[V] = 19.1975
f[PNOISE_STD] = 0.1131
f[ANOISE_STD] = 0.0417
f[CL_isv] = 0.1647
Generated data .csv file
- Synthetic Data:
Gen and Fit Summaries
Inputs
True f[X] values (for simulation)
f[KA] = 0.3000
f[CL] = 3.0000
f[V] = 20.0000
f[PNOISE_STD] = 0.1000
f[ANOISE_STD] = 0.0500
f[CL_isv] = 0.2000
Starting f[X] values (before fitting)
f[KA] = 0.5000
f[CL] = 1.0000
f[V] = 15.0000
f[PNOISE_STD] = 0.2000
f[ANOISE_STD] = 0.2000
f[CL_isv] = 0.0100