One Compartment Model with Absorption and Inter-subject Variance f[CL_isv]=0.2¶
[Generated automatically as a Tutorial summary]
Inputs¶
Description¶
Name: | dep_one_cmp_cl_isv |
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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 |
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Input Script: | dep_one_cmp_cl_isv.pyml |
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] = 1.0000
f[CL] = 2.2896
f[V] = 19.5314
f[PNOISE_STD] = 0.2402
f[ANOISE_STD] = 0.0368
f[CL_isv] = 0.1252
Plots¶
Comparison¶
True objective value¶
-362.6877
Final fitted objective value¶
-307.5014
Compare Main f[X]¶
Name | Initial | Fitted | True | Prop. Error | Abs. Error |
---|---|---|---|---|---|
f[KA] | 0.5 | 1 | 0.3 | 233.33% | 7.00e-01 |
f[CL] | 1 | 2.29 | 3 | 23.68% | 7.10e-01 |
f[V] | 15 | 19.5 | 20 | 2.34% | 4.69e-01 |
Compare Noise f[X]¶
Name | Initial | Fitted | True | Prop. Error | Abs. Error |
---|---|---|---|---|---|
f[PNOISE_STD] | 0.2 | 0.24 | 0.1 | 140.20% | 1.40e-01 |
f[ANOISE_STD] | 0.2 | 0.0368 | 0.05 | 26.49% | 1.32e-02 |
Compare Variance f[X]¶
Name | Initial | Fitted | True | Prop. Error | Abs. Error |
---|---|---|---|---|---|
f[CL_isv] | 0.01 | 0.125 | 0.2 | 37.40% | 7.48e-02 |