Bioavailability and Lag

[Generated automatically as a Tutorial summary]

Model Description

Name:

biolag_base

Title:

Bioavailability and Lag

Author:

PoPy for PK/PD

Abstract:

One compartment model with bioavailability and lag parameters.
Keywords:

identifiability; bioavailability; lag; iv_one_cmp_cl

Input Script:

biolag_base_tut.pyml

Diagram:

Comparison

True objective value

86.0288

Final fitted objective value

83.5562

Compare Main f[X]

Name

Initial

Fitted

True

Abs. Error

Prop. Error

f[CL]

1

2.08

3

9.15e-01

30.51%

f[V]

15

11.3

20

8.75e+00

43.73%

f[BIO]

0.8

0.8

1

2.00e-01

20.02%

f[LAG]

1

0.0204

0

2.04e-02

inf

Compare Noise f[X]

Name

Initial

Fitted

True

Abs. Error

Prop. Error

f[ANOISE_STD]

5

0.921

1

7.89e-02

7.89%

Compare Variance f[X]

No Variance f[X] values to compare.

Outputs

Fitted f[X] values (after fitting)

f[CL] = 2.0846
f[V] = 11.2540
f[ANOISE_STD] = 0.9211
f[BIO] = 0.7998
f[LAG] = 0.0204

Generated data .csv file

Synthetic Data:

synthetic_data.csv

Gen and Fit Summaries

Inputs

True f[X] values (for simulation)

f[CL] = 3.0000
f[V] = 20.0000
f[ANOISE_STD] = 1.0000
f[BIO] = 1.0000
f[LAG] = 0.0000

Starting f[X] values (before fitting)

f[CL] = 1.0000
f[V] = 15.0000
f[ANOISE_STD] = 5.0000
f[BIO] = 0.8000
f[LAG] = 1.0000