Bioavailability and Lag

[Generated automatically as a Fitting summary]

Inputs

Description

Name:biolag_abs_base
Title:Bioavailability and Lag
Author:Wright Dose Ltd
Abstract:
One compartment model absorption dosing with bioavailability and lag parameters.
Keywords:identifiability; bioavailability; lag; dep_one_cmp_cl
Input Script:biolag_abs_base_fit.pyml
Input Data:synthetic_data.csv
Diagram:

Initial fixed effect estimates

f[KA] = 0.5000
f[CL] = 1.0000
f[V] = 15.0000
f[ANOISE_STD] = 5.0000
f[BIO] = 0.5000
f[LAG] = 1.0000

Outputs

Final objective value

38.8669

which required N. iterations and took 1.57 seconds

Final fitted fixed effects

f[KA] = 1.0000
f[CL] = 2.0220
f[V] = 10.4802
f[ANOISE_STD] = 0.8945
f[BIO] = 0.3681
f[LAG] = 8.7948

Fitted parameter .csv files

Fixed Effects:fx_params.csv (fit)
Random Effects:rx_params.csv (fit)
Model params:mx_params.csv (fit)
State values:sx_params.csv (fit)
Predictions:px_params.csv (fit)

Plots

Dense sim plots

Alternatively see All dense_sim graph plots

Comparison

Compare Main f[X]

Variable Name Fitted Value Starting Value Prop Change Abs Change
f[KA] 1.0000 0.5000 1.0000 0.5000
f[CL] 2.0220 1.0000 1.0220 1.0220
f[V] 10.4802 15.0000 0.3013 4.5198
f[BIO] 0.3681 0.5000 0.2639 0.1319
f[LAG] 8.7948 1.0000 7.7948 7.7948

Compare Noise f[X]

Variable Name Fitted Value Starting Value Prop Change Abs Change
f[ANOISE_STD] 0.8945 5.0000 0.8211 4.1055

Compare Variance f[X]