# 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

    38.8669

which required 1.25 iterations and took 10.83 seconds

### Final fitted fixed effects

    f[KA] = 1.0000
    f[CL] = 2.2001
    f[V] = 11.3950
    f[ANOISE_STD] = 0.8946
    f[BIO] = 0.4003
    f[LAG] = 8.7958

### 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 | 1.0000 | 1.0000 | 0.5000
f[CL] | 1.0000 | 2.2001 | 1.2001 | 1.2001
f[V] | 15.0000 | 11.3950 | 0.2403 | 3.6050
f[BIO] | 0.5000 | 0.4003 | 0.1994 | 0.0997
f[LAG] | 1.0000 | 8.7958 | 7.7958 | 7.7958

### Compare Noise f[X]

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

### Compare Variance f[X]