Bioavailability and Lag

[Generated automatically as a Tutorial summary]

Model Description

Name:

biolag_abs_bio

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_bio_tut.pyml

Diagram:

Comparison

True objective value

44.2050

Final fitted objective value

38.7412

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

3.54

3

5.36e-01

17.87%

f[V]

15

14

20

6.04e+00

30.22%

f[BIO]

0.8

0.402

0.583

1.81e-01

30.98%

f[LAG]

1

9.2

0

9.20e+00

inf

Compare Noise f[X]

Name

Initial

Fitted

True

Abs. Error

Prop. Error

f[ANOISE_STD]

5

0.894

1

1.06e-01

10.65%

Compare Variance f[X]

No Variance f[X] values to compare.

Outputs

Fitted f[X] values (after fitting)

f[KA] = 1.0000
f[CL] = 3.5361
f[V] = 13.9552
f[ANOISE_STD] = 0.8935
f[BIO] = 0.4024
f[LAG] = 9.2035

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[ANOISE_STD] = 1.0000
f[BIO] = 0.5830
f[LAG] = 0.0000

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