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

38.8669

which required 1.25 iterations and took 10.83 seconds

Final fitted fixed effects

f[KA] = 1.0000
f[CL] = 2.2001
f[V] = 11.3950
f[ANOISE_STD] = 0.8946
f[BIO] = 0.4003
f[LAG] = 8.7958

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 1.0000 1.0000 0.5000
f[CL] 1.0000 2.2001 1.2001 1.2001
f[V] 15.0000 11.3950 0.2403 3.6050
f[BIO] 0.5000 0.4003 0.1994 0.0997
f[LAG] 1.0000 8.7958 7.7958 7.7958

Compare Noise f[X]

Variable Name Starting Value Fitted Value Prop Change Abs Change
f[ANOISE_STD] 5.0000 0.8946 0.8211 4.1054

Compare Variance f[X]