Bioavailability and Lag

[Generated automatically as a Fitting summary]

Inputs

Description

Name:biolag_abs_lag
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_lag_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] = 0.8000
f[LAG] = 1.0000

Outputs

Final objective value

38.5365

which required 1.30 iterations and took 4.56 seconds

Final fitted fixed effects

f[KA] = 0.9911
f[CL] = 0.8428
f[V] = 5.9136
f[ANOISE_STD] = 0.8909
f[BIO] = 0.2622
f[LAG] = 8.6494

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 0.9911 0.9823 0.4911
f[CL] 1.0000 0.8428 0.1572 0.1572
f[V] 15.0000 5.9136 0.6058 9.0864
f[BIO] 0.8000 0.2622 0.6723 0.5378
f[LAG] 1.0000 8.6494 7.6494 7.6494

Compare Noise f[X]

Variable Name Starting Value Fitted Value Prop Change Abs Change
f[ANOISE_STD] 5.0000 0.8909 0.8218 4.1091

Compare Variance f[X]