Bioavailability and Lag

[Generated automatically as a Tutorial summary]

Model Description

Name:

biolag_lag

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_lag_tut.pyml

Diagram:

Comparison

True objective value

86.0288

Final fitted objective value

83.5359

Compare Main f[X]

Name

Initial

Fitted

True

Abs. Error

Prop. Error

f[CL]

1

1.6

3

1.40e+00

46.68%

f[V]

15

9.24

20

1.08e+01

53.80%

f[BIO]

0.8

0.822

1

1.78e-01

17.82%

f[LAG]

1

0.623

3

2.38e+00

79.24%

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] = 1.5996
f[V] = 9.2410
f[ANOISE_STD] = 0.9210
f[BIO] = 0.8218
f[LAG] = 0.6229

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] = 1.0000
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