One Compartment Model with Absorption and no inter-occasion Variance f[CL_iov]=0
[Generated automatically as a Tutorial summary]
Model Description
- Name:
d1cmp_cl_iov_naive
- Title:
One Compartment Model with Absorption and no inter-occasion Variance f[CL_iov]=0
- Author:
PoPy for PK/PD
- Abstract:
Population one Compartment Model with Absorption and Inter-occasion Variance
Here f[CL_iov] is not estimated it is set to zero.
- Keywords:
one compartment model; dep_one_cmp_cl; iov
- Input Script:
- Diagram:
Comparison
True objective value
-43.9474
Final fitted objective value
-253.7337
Compare Main f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
|---|---|---|---|---|---|
f[KA] |
0.5 |
0.32 |
0.3 |
2.02e-02 |
6.74% |
f[CL] |
1 |
2.53 |
3 |
4.65e-01 |
15.50% |
f[V] |
15 |
21 |
20 |
9.76e-01 |
4.88% |
Compare Noise f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
|---|---|---|---|---|---|
f[PNOISE_STD] |
0.2 |
0.23 |
0.1 |
1.30e-01 |
129.67% |
f[ANOISE_STD] |
0.2 |
0.0976 |
0.05 |
4.76e-02 |
95.13% |
Compare Variance f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
|---|---|---|---|---|---|
f[CL_isv] |
0.01 |
0.14 |
0.2 |
6.05e-02 |
30.25% |
Outputs
Fitted f[X] values (after fitting)
f[KA] = 0.3202
f[CL] = 2.5349
f[V] = 20.9761
f[PNOISE_STD] = 0.2297
f[ANOISE_STD] = 0.0976
f[CL_isv] = 0.1395
f[CL_iov] = 0.0000
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] = 0.0000