Bioavailability and Lag

[Generated automatically as a Tutorial summary]

Inputs

Description

Name:biolag_abs_bio
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_bio_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] = 0.0000

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] = 7.9815
f[V] = 88.3378
f[ANOISE_STD] = 1.1181
f[BIO] = 0.0000
f[LAG] = 556991931180618173920440774875204562471103574122168320.0000

Plots

Dense comp plots

Alternatively see All dense_comp graph plots

Comparison

True objective value

44.2050

Final fitted objective value

61.1707

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 7.98 3 166.05% 4.98e+00
f[V] 15 88.3 20 341.69% 6.83e+01
f[BIO] 0.8 1.5e-07 0.583 100.00% 5.83e-01
f[LAG] 1 5.57e+53 0 inf 5.57e+53

Compare Noise f[X]

Name Initial Fitted True Prop. Error Abs. Error
f[ANOISE_STD] 5 1.12 1 11.81% 1.18e-01

Compare Variance f[X]

No Variance f[X] values to compare.