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

Outputs

Final objective value

38.8629431479

which required N. iterations and took 278.54 seconds

Final fitted fixed effects

f[KA] = 1
f[CL] = 1.9103
f[V] = 9.891
f[ANOISE_STD] = 0.89505
f[BIO] = 0.34735
f[LAG] = 8.798

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 0.5 1 0.5
f[CL] 1.91026 1 0.910264 0.910264
f[V] 9.89096 15 0.340603 5.10904
f[BIO] 0.347346 0.5 0.305308 0.152654
f[LAG] 8.79798 1 7.79798 7.79798

Compare Noise f[X]

Variable Name Fitted Value Starting Value Prop Change Abs Change
f[ANOISE_STD] 0.895045 5 0.820991 4.10495

Compare Variance f[X]