Bioavailability and Lag

[Generated automatically as a Tutorial summary]

Model Description

Name:

biolag_abs_lag

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_lag_tut.pyml

Diagram:

Comparison

True objective value

44.2050

Final fitted objective value

38.5454

Compare Main f[X]

Name

Initial

Fitted

True

Abs. Error

Prop. Error

f[KA]

0.5

0.984

0.3

6.84e-01

227.95%

f[CL]

1

0.882

3

2.12e+00

70.61%

f[V]

15

6.21

20

1.38e+01

68.96%

f[BIO]

0.8

0.274

1

7.26e-01

72.56%

f[LAG]

1

8.64

5

3.64e+00

72.88%

Compare Noise f[X]

Name

Initial

Fitted

True

Abs. Error

Prop. Error

f[ANOISE_STD]

5

0.893

1

1.07e-01

10.73%

Compare Variance f[X]

No Variance f[X] values to compare.

Outputs

Fitted f[X] values (after fitting)

f[KA] = 0.9839
f[CL] = 0.8818
f[V] = 6.2090
f[ANOISE_STD] = 0.8927
f[BIO] = 0.2744
f[LAG] = 8.6439

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] = 5.0000

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