Bioavailability and Lag

[Generated automatically as a Tutorial summary]

Model Description

Name:

biolag_abs_base

Title:

Bioavailability and Lag

Author:

PoPy for PK/PD

Abstract:

One compartment model absorption dosing with bioavailability and lag parameters.
Keywords:

identifiability; bioavailability; lag; dep_one_cmp_cl

Input Script:

biolag_abs_base_tut.pyml

Diagram:

Comparison

True objective value

44.2050

Final fitted objective value

38.8670

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

2.47

3

5.29e-01

17.62%

f[V]

15

12.8

20

7.20e+00

36.01%

f[BIO]

0.5

0.45

1

5.50e-01

55.03%

f[LAG]

1

8.8

0

8.80e+00

inf

Compare Noise f[X]

Name

Initial

Fitted

True

Abs. Error

Prop. Error

f[ANOISE_STD]

5

0.895

1

1.05e-01

10.54%

Compare Variance f[X]

No Variance f[X] values to compare.

Outputs

Fitted f[X] values (after fitting)

f[KA] = 1.0000
f[CL] = 2.4714
f[V] = 12.7971
f[ANOISE_STD] = 0.8946
f[BIO] = 0.4497
f[LAG] = 8.7958

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] = 1.0000
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] = 0.5000
f[LAG] = 1.0000