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

38.7660

which required 1.30 iterations and took 7.20 seconds

Final fitted fixed effects

f[KA] = 0.9899
f[CL] = 2.5346
f[V] = 15.4897
f[ANOISE_STD] = 0.8940
f[BIO] = 0.4852
f[LAG] = 8.8987

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 0.9899 0.9798 0.4899
f[CL] 1.0000 2.5346 1.5346 1.5346
f[V] 15.0000 15.4897 0.0326 0.4897
f[BIO] 0.8000 0.4852 0.3935 0.3148
f[LAG] 1.0000 8.8987 7.8987 7.8987

Compare Noise f[X]

Variable Name Starting Value Fitted Value Prop Change Abs Change
f[ANOISE_STD] 5.0000 0.8940 0.8212 4.1060

Compare Variance f[X]