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] = 0.5
f[CL] = 1
f[V] = 15
f[ANOISE_STD] = 5
f[BIO] = 1
f[LAG] = 1

Outputs

Final objective value

39.6936010336

which required N. iterations and took 313.08 seconds

Final fitted fixed effects

f[KA] = 0.92057
f[CL] = 1.7029
f[V] = 13.604
f[ANOISE_STD] = 0.90187
f[BIO] = 1
f[LAG] = 1.189E-07

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] 0.920566 0.5 0.841131 0.420566
f[CL] 1.70289 1 0.702891 0.702891
f[V] 13.6041 15 0.0930569 1.39585
f[BIO] 1 1 0 0
f[LAG] 1.189e-07 1 1 1

Compare Noise f[X]

Variable Name Fitted Value Starting Value Prop Change Abs Change
f[ANOISE_STD] 0.901873 5 0.819625 4.09813

Compare Variance f[X]