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¶
-392.2101
Final fitted objective value¶
-398.8099
Compare Main f[X]¶
Name | Initial | Fitted | True | Abs. Error | Prop. Error |
---|---|---|---|---|---|
f[KA] | 0.5 | 0.318 | 0.3 | 1.79e-02 | 5.98% |
f[CL] | 1 | 3.33 | 3 | 3.33e-01 | 11.10% |
f[V] | 15 | 19.3 | 20 | 6.53e-01 | 3.27% |
Compare Noise f[X]¶
Name | Initial | Fitted | True | Abs. Error | Prop. Error |
---|---|---|---|---|---|
f[PNOISE_STD] | 0.2 | 0.0946 | 0.1 | 5.42e-03 | 5.42% |
f[ANOISE_STD] | 0.2 | 0.0495 | 0.05 | 4.71e-04 | 0.94% |
Compare Variance f[X]¶
Name | Initial | Fitted | True | Abs. Error | Prop. Error |
---|---|---|---|---|---|
f[CL_isv] | 0.01 | 0.146 | 0.2 | 5.36e-02 | 26.82% |
f[CL_iov] | 0.01 | 0.0608 | 0.1 | 3.92e-02 | 39.20% |
Outputs¶
Fitted f[X] values (after fitting)¶
f[KA] = 0.3179
f[CL] = 3.3331
f[V] = 19.3470
f[PNOISE_STD] = 0.0946
f[ANOISE_STD] = 0.0495
f[CL_isv] = 0.1464
f[CL_iov] = 0.0608
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