Bioavailability and Lag

[Generated automatically as a Tutorial summary]

Inputs

Description

Name:biolag_abs_both
Title:Bioavailability and Lag
Author:Wright Dose Ltd
Abstract:
One compartment model absorption dosing with bioavailability and lag parameters.
Keywords:identifiability; bioavailability; lag
Input Script:biolag_abs_both_tut.pyml
Diagram:

True f[X] values

f[KA] = 0.3000
f[CL] = 3.0000
f[V] = 20.0000
f[ANOISE_STD] = 1.0000
f[BIO] = 0.5830
f[LAG] = 5.0000

Starting f[X] values

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

Outputs

Generating and Fitting Summaries

Fitted f[X] values

f[KA] = 1.0000
f[CL] = 1.2315
f[V] = 9.8743
f[ANOISE_STD] = 0.9026
f[BIO] = 0.6750
f[LAG] = 0.6327

Plots

Dense comp plots

Alternatively see All dense_comp graph plots

Comparison

True objective value

44.2050

Final fitted objective value

39.6881

Compare Main f[X]

Name Initial Fitted True Prop. Error Abs. Error
f[KA] 0.5 1 0.3 233.33% 7.00e-01
f[CL] 1 1.23 3 58.95% 1.77e+00
f[V] 15 9.87 20 50.63% 1.01e+01
f[BIO] 0.8 0.675 0.583 15.78% 9.20e-02
f[LAG] 1 0.633 5 87.35% 4.37e+00

Compare Noise f[X]

Name Initial Fitted True Prop. Error Abs. Error
f[ANOISE_STD] 5 0.903 1 9.74% 9.74e-02

Compare Variance f[X]

No Variance f[X] values to compare.