Bioavailability and Lag

[Generated automatically as a Tutorial summary]

Model Description

Name:

biolag_abs_both

Title:

Bioavailability and Lag

Author:

PoPy for PK/PD

Abstract:

One compartment model absorption dosing with bioavailability and lag parameters.

Keywords:

identifiability; bioavailability; lag

Input Script:

biolag_abs_both_tut.pyml

Diagram:

Comparison

True objective value

44.2050

Final fitted objective value

38.7572

Compare Main f[X]

Name	Initial	Fitted	True	Abs. Error	Prop. Error
f[KA]	0.5	1	0.3	7.00e-01	233.33%
f[CL]	1	3.57	3	5.66e-01	18.88%
f[V]	15	21.8	20	1.84e+00	9.22%
f[BIO]	0.8	0.683	0.583	9.99e-02	17.13%
f[LAG]	1	8.91	5	3.91e+00	78.16%

Compare Noise f[X]

Name	Initial	Fitted	True	Abs. Error	Prop. Error
f[ANOISE_STD]	5	0.894	1	1.06e-01	10.63%

Compare Variance f[X]

No Variance f[X] values to compare.

Outputs

Fitted f[X] values (after fitting)

f[KA] = 1.0000
f[CL] = 3.5664
f[V] = 21.8447
f[ANOISE_STD] = 0.8937
f[BIO] = 0.6829
f[LAG] = 8.9078

Generated data .csv file

Synthetic Data:

synthetic_data.csv

Gen and Fit Summaries

• Gen: Bioavailability and Lag (gen)

• Fit: Bioavailability and Lag (fit)

Inputs

True f[X] values (for simulation)

f[KA] = 0.3000
f[CL] = 3.0000
f[V] = 20.0000
f[ANOISE_STD] = 1.0000
f[BIO] = 0.5830
f[LAG] = 5.0000

Starting f[X] values (before fitting)

f[KA] = 0.5000
f[CL] = 1.0000
f[V] = 15.0000
f[ANOISE_STD] = 5.0000
f[BIO] = 0.8000
f[LAG] = 1.0000