# 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]