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] = 0.3
f[CL] = 3
f[V] = 20
f[ANOISE_STD] = 1
f[BIO] = 0.583
f[LAG] = 5

Starting f[X] values

f[KA] = 0.5
f[CL] = 1
f[V] = 15
f[ANOISE_STD] = 5
f[BIO] = 1
f[LAG] = 1

Outputs

Generating and Fitting Summaries

Fitted f[X] values

f[KA] = 0.97089
f[CL] = 1.6898
f[V] = 13.526
f[ANOISE_STD] = 0.90185
f[BIO] = 1
f[LAG] = 0.00049507

Plots

Dense comp plots

Alternatively see All dense_comp graph plots

Comparison

True objective value

44.2049919535

Final fitted objective value

39.6942478038

Compare Main f[X]

Name Initial Fitted True Prop. Error Abs. Error
f[KA] 0.5 0.971 0.3 223.63% 6.71e-01
f[CL] 1 1.69 3 43.67% 1.31e+00
f[V] 15 13.5 20 32.37% 6.47e+00
f[BIO] 1 1 0.583 71.53% 4.17e-01
f[LAG] 1 0.000495 5 99.99% 5.00e+00

Compare Noise f[X]

Name Initial Fitted True Prop. Error Abs. Error
f[ANOISE_STD] 5 0.902 1 9.81% 9.81e-02

Compare Variance f[X]

No Variance f[X] values to compare.