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
242.7372
Final fitted objective value
-203.5525
Compare Main f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
|---|---|---|---|---|---|
f[KA] |
0.5 |
0.291 |
0.3 |
8.69e-03 |
2.90% |
f[CL] |
1 |
2.48 |
3 |
5.22e-01 |
17.40% |
f[V] |
15 |
22.5 |
20 |
2.51e+00 |
12.56% |
Compare Noise f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
|---|---|---|---|---|---|
f[PNOISE_STD] |
0.2 |
0.413 |
0.1 |
3.13e-01 |
312.50% |
f[ANOISE_STD] |
0.2 |
0.0709 |
0.05 |
2.09e-02 |
41.76% |
Compare Variance f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
|---|---|---|---|---|---|
f[CL_isv] |
0.01 |
0.141 |
0.2 |
5.86e-02 |
29.32% |
Outputs
Fitted f[X] values (after fitting)
f[KA] = 0.2913
f[CL] = 2.4780
f[V] = 22.5113
f[PNOISE_STD] = 0.4125
f[ANOISE_STD] = 0.0709
f[CL_isv] = 0.1414
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