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 N. iterations and took 1.07 seconds

Final fitted fixed effects

f[KA] = 1.0000
f[CL] = 2.0250
f[V] = 10.4674
f[ANOISE_STD] = 0.8946
f[BIO] = 0.3680
f[LAG] = 8.7975

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] 2.0250 1.0000 1.0250 1.0250
f[V] 10.4674 15.0000 0.3022 4.5326
f[BIO] 0.3680 0.5000 0.2640 0.1320
f[LAG] 8.7975 1.0000 7.7975 7.7975

Compare Noise f[X]

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

Compare Variance f[X]