Bioavailability and Lag

[Generated automatically as a Fitting summary]

Inputs

Description

Name:biolag_abs_base
Title:Bioavailability and Lag
Author:Wright Dose Ltd
Abstract:
One compartment model absorption dosing with bioavailability and lag parameters.
Keywords:identifiability; bioavailability; lag; dep_one_cmp_cl
Input Script:biolag_abs_base_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] = 0.5000
f[LAG] = 1.0000

Outputs

Final objective value

38.8629

which required 7 iterations and took 0.71 seconds

Final fitted fixed effects

f[KA] = 1.0000
f[CL] = 2.0511
f[V] = 10.6034
f[ANOISE_STD] = 0.8941
f[BIO] = 0.3727
f[LAG] = 8.7974

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] 2.0511 1.0000 1.0511 1.0511
f[V] 10.6034 15.0000 0.2931 4.3966
f[BIO] 0.3727 0.5000 0.2545 0.1273
f[LAG] 8.7974 1.0000 7.7974 7.7974

Compare Noise f[X]

Variable Name Fitted Value Starting Value Prop Change Abs Change
f[ANOISE_STD] 0.8941 5.0000 0.8212 4.1059

Compare Variance f[X]