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] = 1.4961
f[V] = 9.1492
f[ANOISE_STD] = 0.8936
f[BIO] = 0.2861
f[LAG] = 8.9095

Plots

Dense comp plots

Alternatively see All dense_comp graph plots

Comparison

True objective value

44.2050

Final fitted objective value

38.7523

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 1.5 3 50.13% 1.50e+00
f[V] 15 9.15 20 54.25% 1.09e+01
f[BIO] 0.8 0.286 0.583 50.92% 2.97e-01
f[LAG] 1 8.91 5 78.19% 3.91e+00

Compare Noise f[X]

Name Initial Fitted True Prop. Error Abs. Error
f[ANOISE_STD] 5 0.894 1 10.64% 1.06e-01

Compare Variance f[X]

No Variance f[X] values to compare.