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One Compartment Model with Absorption and no inter-subject Variance f[CL_isv]=0

[Generated automatically as a Tutorial summary]

Model Description

Name:d1cmp_cl_isv_naive
Title:One Compartment Model with Absorption and no inter-subject Variance f[CL_isv]=0
Author:PoPy for PK/PD
Abstract:
Population one Compartment Model with Absorption and Inter-subject Variance
Here f[CL_isv] is not estimated it is set to zero.
Keywords:one compartment model; dep_one_cmp_cl
Input Script:d1cmp_cl_isv_naive.pyml
Diagram:

Comparison

True objective value

787.9714

Final fitted objective value

-200.9398

Compare Main f[X]

Name Initial Fitted True Abs. Error Prop. Error
f[KA] 0.5 0.209 0.3 9.14e-02 30.45%
f[CL] 1 3.1 3 9.63e-02 3.21%
f[V] 15 14.8 20 5.19e+00 25.95%

Compare Noise f[X]

Name Initial Fitted True Abs. Error Prop. Error
f[PNOISE_STD] 0.2 0.377 0.1 2.77e-01 276.69%
f[ANOISE_STD] 0.2 0.162 0.05 1.12e-01 223.71%

Compare Variance f[X]

No Variance f[X] values to compare.

Outputs

Fitted f[X] values (after fitting)

f[KA] = 0.2086
f[CL] = 3.0963
f[V] = 14.8105
f[PNOISE_STD] = 0.3767
f[ANOISE_STD] = 0.1619
f[CL_isv] = 0.0000

Generated data .csv file

Synthetic Data:synthetic_data.csv

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

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] = 0.0000
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