One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.5
[Generated automatically as a Tutorial summary]
Model Description
- Name:
d1cmp_cl_iov_05
- Title:
One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.5
- Author:
PoPy for PK/PD
- Abstract:
Population one Compartment Model with Absorption and Inter-occasion Variance
Here f[CL_isv] true value is 0.5
- Keywords:
one compartment model; dep_one_cmp_cl; iov
- Input Script:
- Diagram:
Comparison
True objective value
-352.8548
Final fitted objective value
-365.3290
Compare Main f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
|---|---|---|---|---|---|
f[KA] |
0.5 |
0.269 |
0.3 |
3.14e-02 |
10.45% |
f[CL] |
1 |
2.1 |
3 |
9.05e-01 |
30.17% |
f[V] |
15 |
18.2 |
20 |
1.83e+00 |
9.17% |
Compare Noise f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
|---|---|---|---|---|---|
f[PNOISE_STD] |
0.2 |
0.0889 |
0.1 |
1.11e-02 |
11.06% |
f[ANOISE_STD] |
0.2 |
0.0486 |
0.05 |
1.40e-03 |
2.79% |
Compare Variance f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
|---|---|---|---|---|---|
f[CL_isv] |
0.01 |
0.283 |
0.5 |
2.17e-01 |
43.31% |
f[CL_iov] |
0.01 |
0.0105 |
0.01 |
5.19e-04 |
5.19% |
Outputs
Fitted f[X] values (after fitting)
f[KA] = 0.2686
f[CL] = 2.0950
f[V] = 18.1662
f[PNOISE_STD] = 0.0889
f[ANOISE_STD] = 0.0486
f[CL_isv] = 0.2834
f[CL_iov] = 0.0105
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] = 0.5000
f[CL_iov] = 0.0100
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