One Compartment Model with Absorption and Inter-subject Variance f[CL_isv]=0.2¶
[Generated automatically as a Tutorial summary]
Inputs¶
Description¶
| Name: | d1cmp_cl_isv |
|---|---|
| Title: | One Compartment Model with Absorption and Inter-subject Variance f[CL_isv]=0.2 |
| Author: | Wright Dose Ltd |
| Abstract: |
Population one Compartment Model with Absorption and Inter-subject Variance
| Keywords: | one compartment model; dep_one_cmp_cl |
|---|---|
| Input Script: | d1cmp_cl_isv.pyml |
| Diagram: |
Failed to create compartment diagram
True f[X] values¶
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
Starting f[X] values¶
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
Outputs¶
Generating and Fitting Summaries¶
Fitted f[X] values¶
f[KA] = 0.3020
f[CL] = 3.2966
f[V] = 19.6506
f[PNOISE_STD] = 0.0712
f[ANOISE_STD] = 0.0545
f[CL_isv] = 0.1844
Plots¶
Comparison¶
True objective value¶
-389.4976
Final fitted objective value¶
-394.5900
Compare Main f[X]¶
| Name | Initial | Fitted | True | Prop. Error | Abs. Error |
|---|---|---|---|---|---|
| f[KA] | 0.5 | 0.302 | 0.3 | 0.65% | 1.96e-03 |
| f[CL] | 1 | 3.3 | 3 | 9.89% | 2.97e-01 |
| f[V] | 15 | 19.7 | 20 | 1.75% | 3.49e-01 |
Compare Noise f[X]¶
| Name | Initial | Fitted | True | Prop. Error | Abs. Error |
|---|---|---|---|---|---|
| f[PNOISE_STD] | 0.2 | 0.0712 | 0.1 | 28.79% | 2.88e-02 |
| f[ANOISE_STD] | 0.2 | 0.0545 | 0.05 | 8.97% | 4.49e-03 |
Compare Variance f[X]¶
| Name | Initial | Fitted | True | Prop. Error | Abs. Error |
|---|---|---|---|---|---|
| f[CL_isv] | 0.01 | 0.184 | 0.2 | 7.80% | 1.56e-02 |