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:

Failed to create compartment 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] = 0.9899
f[CL] = 2.5346
f[V] = 15.4897
f[ANOISE_STD] = 0.8940
f[BIO] = 0.4852
f[LAG] = 8.8987

Plots

Dense comp plots

Alternatively see All dense_comp graph plots

Comparison

True objective value

44.2050

Final fitted objective value

38.7660

Compare Main f[X]

Name Initial Fitted True Prop. Error Abs. Error
f[KA] 0.5 0.99 0.3 229.97% 6.90e-01
f[CL] 1 2.53 3 15.51% 4.65e-01
f[V] 15 15.5 20 22.55% 4.51e+00
f[BIO] 0.8 0.485 0.583 16.78% 9.78e-02
f[LAG] 1 8.9 5 77.97% 3.90e+00

Compare Noise f[X]

Name Initial Fitted True Prop. Error Abs. Error
f[ANOISE_STD] 5 0.894 1 10.60% 1.06e-01

Compare Variance f[X]

No Variance f[X] values to compare.