:orphan: 





.. _biolag_abs_lag_fit:



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: :download:`biolag_abs_lag_fit.pyml <biolag_abs_lag_fit.pyml>`

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

:Diagram: 


.. thumbnail:: biolag_abs_lag_fit.pyml_output/fit/compartment_diagram.svg
    :width: 200px


Initial fixed effect estimates
==============================

.. code-block:: pyml

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



Outputs
*******



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

.. code-block:: pyml

    38.5225


which required 7 iterations and took 0.86 seconds

Final fitted fixed effects
==========================

.. code-block:: pyml

    f[KA] = 1.0000
    f[CL] = 3.2273
    f[V] = 22.5113
    f[ANOISE_STD] = 0.8915
    f[BIO] = 1.0000
    f[LAG] = 8.6654



Fitted parameter .csv files
===========================


:Fixed Effects: :download:`fx_params.csv (fit) <biolag_abs_lag_fit.pyml_output/fit/solN/fx_params.csv>`

:Random Effects: :download:`rx_params.csv (fit) <biolag_abs_lag_fit.pyml_output/fit/solN/rx_params.csv>`

:Model params: :download:`mx_params.csv (fit) <biolag_abs_lag_fit.pyml_output/fit/solN/mx_params.csv>`

:State values: :download:`sx_params.csv (fit) <biolag_abs_lag_fit.pyml_output/fit/solN/sx_params.csv>`

:Predictions: :download:`px_params.csv (fit) <biolag_abs_lag_fit.pyml_output/fit/solN/px_params.csv>`



Plots
*****



Dense sim plots
===============



.. thumbnail:: images/fit_dense/000001.svg
    :width: 200px


Alternatively see :ref:`biolag_abs_lag_dense_sim_plots`

Comparison
**********



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


===============  ==============  ================  =============  ============
Variable Name      Fitted Value    Starting Value    Prop Change    Abs Change
===============  ==============  ================  =============  ============
f[KA]                    1.0000            0.5000         1.0000        0.5000
f[CL]                    3.2273            1.0000         2.2273        2.2273
f[V]                    22.5113           15.0000         0.5008        7.5113
f[BIO]                   1.0000            1.0000         0.0000        0.0000
f[LAG]                   8.6654            1.0000         7.6654        7.6654
===============  ==============  ================  =============  ============

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


===============  ==============  ================  =============  ============
Variable Name      Fitted Value    Starting Value    Prop Change    Abs Change
===============  ==============  ================  =============  ============
f[ANOISE_STD]            0.8915            5.0000         0.8217        4.1085
===============  ==============  ================  =============  ============

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


