One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.2¶
[Generated automatically as a Tutorial summary]
Model Description¶
Name: | d1cmp_cl_iov |
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Title: | One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.2 |
Author: | PoPy for PK/PD |
Abstract: |
Population one Compartment Model with Absorption and Inter-occasion Variance
Keywords: | one compartment model; dep_one_cmp_cl; iov |
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Input Script: | d1cmp_cl_iov.pyml |
Diagram: |
Comparison¶
True objective value¶
-358.2450
Final fitted objective value¶
-363.8118
Compare Main f[X]¶
Name | Initial | Fitted | True | Abs. Error | Prop. Error |
---|---|---|---|---|---|
f[KA] | 0.5 | 0.335 | 0.3 | 3.45e-02 | 11.51% |
f[CL] | 1 | 2.59 | 3 | 4.15e-01 | 13.82% |
f[V] | 15 | 20.2 | 20 | 2.05e-01 | 1.03% |
Compare Noise f[X]¶
Name | Initial | Fitted | True | Abs. Error | Prop. Error |
---|---|---|---|---|---|
f[PNOISE_STD] | 0.2 | 0.1… | 0.1 | 3.15e-05 | 0.03% |
f[ANOISE_STD] | 0.2 | 0.0479 | 0.05 | 2.10e-03 | 4.20% |
Compare Variance f[X]¶
Name | Initial | Fitted | True | Abs. Error | Prop. Error |
---|---|---|---|---|---|
f[CL_isv] | 0.01 | 0.12 | 0.2 | 8.01e-02 | 40.03% |
f[CL_iov] | 0.01 | 0.0783 | 0.1 | 2.17e-02 | 21.69% |
Outputs¶
Fitted f[X] values (after fitting)¶
f[KA] = 0.3345
f[CL] = 2.5855
f[V] = 20.2051
f[PNOISE_STD] = 0.1000
f[ANOISE_STD] = 0.0479
f[CL_isv] = 0.1199
f[CL_iov] = 0.0783
Generated data .csv file¶
Synthetic Data: | synthetic_data.csv |
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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] = 0.0100