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

Generated data .csv file

Synthetic Data:synthetic_data.csv

Generating and Fitting Summaries

Fitted f[X] values

f[KA] = 1.0000
f[CL] = 2.1152
f[V] = 8.3532
f[ANOISE_STD] = 0.8936
f[BIO] = 0.2407
f[LAG] = 9.2028

Plots

Dense comp plots

Alternatively see All dense_comp graph plots

Comparison

True objective value

44.2050

Final fitted objective value

38.7412

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 2.12 3 29.49% 8.85e-01
f[V] 15 8.35 20 58.23% 1.16e+01
f[BIO] 0.8 0.241 0.583 58.71% 3.42e-01
f[LAG] 1 9.2 0 inf 9.20e+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.