- Language: en
- Documentation version: 1.3.1
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:
Population one Compartment Model with Absorption and Inter-subject Variance
- Keywords:
one compartment model; dep_one_cmp_cl
- Input Script:
- Diagram:
Comparison
True objective value
-389.4976
Final fitted objective value
-394.5900
Compare Main f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
|---|---|---|---|---|---|
f[KA] |
0.5 |
0.302 |
0.3 |
1.93e-03 |
0.64% |
f[CL] |
1 |
3.3 |
3 |
2.98e-01 |
9.94% |
f[V] |
15 |
19.7 |
20 |
3.50e-01 |
1.75% |
Compare Noise f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
|---|---|---|---|---|---|
f[PNOISE_STD] |
0.2 |
0.0712 |
0.1 |
2.88e-02 |
28.78% |
f[ANOISE_STD] |
0.2 |
0.0545 |
0.05 |
4.48e-03 |
8.97% |
Compare Variance f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
|---|---|---|---|---|---|
f[CL_isv] |
0.01 |
0.184 |
0.2 |
1.56e-02 |
7.80% |
Outputs
Fitted f[X] values (after fitting)
f[KA] = 0.3019
f[CL] = 3.2981
f[V] = 19.6503
f[PNOISE_STD] = 0.0712
f[ANOISE_STD] = 0.0545
f[CL_isv] = 0.1844
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