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One Compartment Model with Absorption and Inter-subject Variance f[CL_isv]=0.2

[Generated automatically as a Tutorial summary]

Model Description

Name:

d1cmp_cl_isv

Title:

One Compartment Model with Absorption and Inter-subject Variance f[CL_isv]=0.2

Author:

PoPy for PK/PD

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:

Comparison

True objective value

-362.6880

Final fitted objective value

-371.3278

Compare Main f[X]

Name

Initial

Fitted

True

Abs. Error

Prop. Error

f[KA]

0.5

0.264

0.3

3.58e-02

11.92%

f[CL]

1

2.74

3

2.58e-01

8.61%

f[V]

15

19.2

20

8.02e-01

4.01%

Compare Noise f[X]

Name

Initial

Fitted

True

Abs. Error

Prop. Error

f[PNOISE_STD]

0.2

0.113

0.1

1.31e-02

13.10%

f[ANOISE_STD]

0.2

0.0417

0.05

8.32e-03

16.64%

Compare Variance f[X]

Name

Initial

Fitted

True

Abs. Error

Prop. Error

f[CL_isv]

0.01

0.165

0.2

3.53e-02

17.65%

Outputs

Fitted f[X] values (after fitting)

f[KA] = 0.2642
f[CL] = 2.7416
f[V] = 19.1975
f[PNOISE_STD] = 0.1131
f[ANOISE_STD] = 0.0417
f[CL_isv] = 0.1647

Generated data .csv file

Synthetic Data:

synthetic_data.csv

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

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
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