Bioavailability and Lag

[Generated automatically as a Tutorial summary]

Model Description

Name:

biolag_both

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_both_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

2.09

3

9.10e-01

30.34%

f[V]

15

11.3

20

8.72e+00

43.59%

f[BIO]

0.8

0.801

0.638

1.64e-01

25.70%

f[LAG]

1

0.0212

3

2.98e+00

99.29%

Compare Noise f[X]

Name

Initial

Fitted

True

Abs. Error

Prop. Error

f[ANOISE_STD]

5

0.921

1

7.90e-02

7.90%

Compare Variance f[X]

No Variance f[X] values to compare.

Outputs

Fitted f[X] values (after fitting)

f[CL] = 2.0897
f[V] = 11.2811
f[ANOISE_STD] = 0.9210
f[BIO] = 0.8015
f[LAG] = 0.0212

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] = 0.6376
f[LAG] = 3.0000

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