One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.2
[Generated automatically as a Tutorial summary]
Model Description
- Name:
d1cmp_cl_iov
- Title:
One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.2
- Author:
PoPy for PK/PD
- Abstract:
Population one Compartment Model with Absorption and Inter-occasion Variance
- Keywords:
one compartment model; dep_one_cmp_cl; iov
- Input Script:
- Diagram:
Comparison
True objective value
-358.2450
Final fitted objective value
-363.8118
Compare Main f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
|---|---|---|---|---|---|
f[KA] |
0.5 |
0.335 |
0.3 |
3.45e-02 |
11.51% |
f[CL] |
1 |
2.59 |
3 |
4.15e-01 |
13.82% |
f[V] |
15 |
20.2 |
20 |
2.05e-01 |
1.03% |
Compare Noise f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
|---|---|---|---|---|---|
f[PNOISE_STD] |
0.2 |
0.1… |
0.1 |
3.15e-05 |
0.03% |
f[ANOISE_STD] |
0.2 |
0.0479 |
0.05 |
2.10e-03 |
4.20% |
Compare Variance f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
|---|---|---|---|---|---|
f[CL_isv] |
0.01 |
0.12 |
0.2 |
8.00e-02 |
40.02% |
f[CL_iov] |
0.01 |
0.0783 |
0.1 |
2.17e-02 |
21.69% |
Outputs
Fitted f[X] values (after fitting)
f[KA] = 0.3345
f[CL] = 2.5855
f[V] = 20.2051
f[PNOISE_STD] = 0.1000
f[ANOISE_STD] = 0.0479
f[CL_isv] = 0.1200
f[CL_iov] = 0.0783
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
f[CL_iov] = 0.1000
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
f[CL_iov] = 0.0100