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
-344.3936
Final fitted objective value
-353.3355
Compare Main f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
|---|---|---|---|---|---|
f[KA] |
0.5 |
0.271 |
0.3 |
2.89e-02 |
9.62% |
f[CL] |
1 |
2.4 |
3 |
5.99e-01 |
19.97% |
f[V] |
15 |
18.4 |
20 |
1.61e+00 |
8.04% |
Compare Noise f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
|---|---|---|---|---|---|
f[PNOISE_STD] |
0.2 |
0.0935 |
0.1 |
6.51e-03 |
6.51% |
f[ANOISE_STD] |
0.2 |
0.0487 |
0.05 |
1.32e-03 |
2.64% |
Compare Variance f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
|---|---|---|---|---|---|
f[CL_isv] |
0.01 |
0.0829 |
0.2 |
1.17e-01 |
58.57% |
f[CL_iov] |
0.01 |
0.107 |
0.1 |
7.31e-03 |
7.31% |
Outputs
Fitted f[X] values (after fitting)
f[KA] = 0.2711
f[CL] = 2.4008
f[V] = 18.3926
f[PNOISE_STD] = 0.0935
f[ANOISE_STD] = 0.0487
f[CL_isv] = 0.0829
f[CL_iov] = 0.1073
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