# 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]