:orphan: 





.. _biolag_abs_both_tut:



Bioavailability and Lag
#######################

[Generated automatically as a Tutorial summary]

Model Description
*****************


:Name: biolag_abs_both

:Title: Bioavailability and Lag

:Author: PoPy for PK/PD

:Abstract: 

| One compartment model absorption dosing with bioavailability and lag parameters.

:Keywords: identifiability; bioavailability; lag

:Input Script: :download:`biolag_abs_both_tut.pyml <biolag_abs_both_tut.pyml>`

:Diagram: 


.. thumbnail:: compartment_diagram.svg
    :width: 200px


Comparison
**********



True objective value
====================


.. code-block:: pyml

    44.2050



Final fitted objective value
============================


.. code-block:: pyml

    38.7572



Compare Main f[X]
=================



.. csv-table:: 
    :file: fx_comp_main.csv
    :header-rows: 1


Compare Noise f[X]
==================



.. csv-table:: 
    :file: fx_comp_noise.csv
    :header-rows: 1


Compare Variance f[X]
=====================


No Variance f[X] values to compare.

Outputs
*******



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


.. code-block:: pyml

    f[KA] = 1.0000
    f[CL] = 3.5664
    f[V] = 21.8447
    f[ANOISE_STD] = 0.8937
    f[BIO] = 0.6829
    f[LAG] = 8.9078



Generated data .csv file
========================


:Synthetic Data: :download:`synthetic_data.csv <synthetic_data.csv>`


Gen and Fit Summaries
=====================


* Gen: :ref:`biolag_abs_both_gen` (gen)
* Fit: :ref:`biolag_abs_both_fit` (fit)

Inputs
******



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

.. code-block:: pyml

    f[KA] = 0.3000
    f[CL] = 3.0000
    f[V] = 20.0000
    f[ANOISE_STD] = 1.0000
    f[BIO] = 0.5830
    f[LAG] = 5.0000



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

.. code-block:: pyml

    f[KA] = 0.5000
    f[CL] = 1.0000
    f[V] = 15.0000
    f[ANOISE_STD] = 5.0000
    f[BIO] = 0.8000
    f[LAG] = 1.0000

