Bioavailability and Lag

[Generated automatically as a Fitting summary]

Inputs

Description

Name:biolag_abs_bio
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_bio_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

39.6302527643

which required 5 iterations and took 0.55 seconds

Final fitted fixed effects

f[KA] = 0.40372
f[CL] = 2.6242
f[V] = 16.151
f[ANOISE_STD] = 0.90054
f[BIO] = 1
f[LAG] = 0.0016458

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] 0.403719 0.5 0.192562 0.096281
f[CL] 2.62417 1 1.62417 1.62417
f[V] 16.151 15 0.0767324 1.15099
f[BIO] 1 1 0 0
f[LAG] 0.00164579 1 0.998354 0.998354

Compare Noise f[X]

Variable Name Fitted Value Starting Value Prop Change Abs Change
f[ANOISE_STD] 0.900542 5 0.819892 4.09946

Compare Variance f[X]