Bioavailability and Lag

[Generated automatically as a Fitting 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_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

38.7523

which required N. iterations and took 1.21 seconds

Final fitted fixed effects

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

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] 1.4961 1.0000 0.4961 0.4961
f[V] 9.1492 15.0000 0.3901 5.8508
f[BIO] 0.2861 0.8000 0.6423 0.5139
f[LAG] 8.9095 1.0000 7.9095 7.9095

Compare Noise f[X]

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

Compare Variance f[X]