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

39.6942478039

which required 7 iterations and took 0.55 seconds

Final fitted fixed effects

f[KA] = 0.97089
f[CL] = 1.6898
f[V] = 13.526
f[ANOISE_STD] = 0.90185
f[BIO] = 1
f[LAG] = 0.00049507

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] 0.970889 0.5 0.941777 0.470889
f[CL] 1.68982 1 0.68982 0.68982
f[V] 13.5257 15 0.0982881 1.47432
f[BIO] 1 1 0 0
f[LAG] 0.000495075 1 0.999505 0.999505

Compare Noise f[X]

Variable Name Fitted Value Starting Value Prop Change Abs Change
f[ANOISE_STD] 0.901855 5 0.819629 4.09815

Compare Variance f[X]