Bioavailability and Lag

[Generated automatically as a Tutorial summary]

Model Description

Name:

biolag_bio

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_bio_tut.pyml

Diagram:

Comparison

True objective value

86.0288

Final fitted objective value

83.5946

Compare Main f[X]

Name	Initial	Fitted	True	Abs. Error	Prop. Error
f[CL]	1	3.73	3	7.32e-01	24.40%
f[V]	15	18.5	20	1.52e+00	7.61%
f[BIO]	0.8	0.983	0.638	3.46e-01	54.21%
f[LAG]	1	0.07	0	7.00e-02	inf

Compare Noise f[X]

Name	Initial	Fitted	True	Abs. Error	Prop. Error
f[ANOISE_STD]	5	0.921	1	7.88e-02	7.88%

Compare Variance f[X]

No Variance f[X] values to compare.

Outputs

Fitted f[X] values (after fitting)

f[CL] = 3.7321
f[V] = 18.4779
f[ANOISE_STD] = 0.9212
f[BIO] = 0.9832
f[LAG] = 0.0700

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[CL] = 3.0000
f[V] = 20.0000
f[ANOISE_STD] = 1.0000
f[BIO] = 0.6376
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