Bioavailability and Lag

[Generated automatically as a Fitting 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_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] = 0.8000
f[LAG] = 1.0000

Outputs

Final objective value

38.7412

which required 1.30 iterations and took 10.88 seconds

Final fitted fixed effects

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

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 Starting Value Fitted Value Prop Change Abs Change
f[KA] 0.5000 1.0000 1.0000 0.5000
f[CL] 1.0000 2.1152 1.1152 1.1152
f[V] 15.0000 8.3532 0.4431 6.6468
f[BIO] 0.8000 0.2407 0.6991 0.5593
f[LAG] 1.0000 9.2028 8.2028 8.2028

Compare Noise f[X]

Variable Name Starting Value Fitted Value Prop Change Abs Change
f[ANOISE_STD] 5.0000 0.8936 0.8213 4.1064

Compare Variance f[X]