# Bioavailability and Lag

[Generated automatically as a Tutorial summary]

## Model Description

Name:

  biolag_abs_base

Title:

  Bioavailability and Lag

Author:

  PoPy for PK/PD

Abstract:

One compartment model absorption dosing with bioavailability and lag parameters.

Keywords:

  identifiability; bioavailability; lag; dep_one_cmp_cl

Input Script:

  `biolag_abs_base_tut.pyml`

Diagram:

## Comparison

### True objective value

    44.2050

### Final fitted objective value

    38.8670

### Compare Main f[X]

Name | Initial | Fitted | True | Abs. Error | Prop. Error
--- | --- | --- | --- | --- | ---
f[KA] | 0.5 | 1 | 0.3 | 7.00e-01 | 233.33%
f[CL] | 1 | 2.47 | 3 | 5.29e-01 | 17.62%
f[V] | 15 | 12.8 | 20 | 7.20e+00 | 36.01%
f[BIO] | 0.5 | 0.45 | 1 | 5.50e-01 | 55.03%
f[LAG] | 1 | 8.8 | 0 | 8.80e+00 | inf

### Compare Noise f[X]

Name | Initial | Fitted | True | Abs. Error | Prop. Error
--- | --- | --- | --- | --- | ---
f[ANOISE_STD] | 5 | 0.895 | 1 | 1.05e-01 | 10.54%

### Compare Variance f[X]

No Variance f[X] values to compare.

## Outputs

### Fitted f[X] values (after fitting)

    f[KA] = 1.0000
    f[CL] = 2.4714
    f[V] = 12.7971
    f[ANOISE_STD] = 0.8946
    f[BIO] = 0.4497
    f[LAG] = 8.7958

### Generated data .csv file

Synthetic Data:

  `synthetic_data.csv`

### Gen and Fit Summaries

- Gen: Bioavailability and Lag (gen)

- Fit: Bioavailability and Lag (fit)

## Inputs

### True f[X] values (for simulation)

    f[KA] = 0.3000
    f[CL] = 3.0000
    f[V] = 20.0000
    f[ANOISE_STD] = 1.0000
    f[BIO] = 1.0000
    f[LAG] = 0.0000

### Starting f[X] values (before fitting)

    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