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

Outputs

Final objective value

38.5225344639

which required N. iterations and took 378.90 seconds

Final fitted fixed effects

f[KA] = 1
f[CL] = 3.226
f[V] = 22.521
f[ANOISE_STD] = 0.89139
f[BIO] = 1
f[LAG] = 8.6656

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] 3.22599 1 2.22599 2.22599
f[V] 22.5208 15 0.501389 7.52083
f[BIO] 1 1 0 0
f[LAG] 8.66561 1 7.66561 7.66561

Compare Noise f[X]

Variable Name Fitted Value Starting Value Prop Change Abs Change
f[ANOISE_STD] 0.891385 5 0.821723 4.10861

Compare Variance f[X]