:orphan: 





.. _emax_complex_gen:



Complex Emax PD Model
#####################

[Generated automatically as a Generation summary]

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


:Name: emax_complex

:Title: Complex Emax PD Model

:Author: PoPy for PK/PD

:Abstract: 

| An complex emax PK/PD Model, based on the concentration of drug in the body.
| The two compartment PK model uses previously estimated values of CL, V1, Q and V2 for each individual
| The concentration in the central compartment influences the effect compartment along with EMAX (the maximum effect), EC50 (the concentration at which the effect is half the maximum) using a hill equation.

:Keywords: pkpd

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

:Diagram: 


.. thumbnail:: emax_complex_gen.pyml_output/compartment_diagram.svg
    :width: 200px


Outputs
*******



Population simulated (sim) plots
================================


.. list-table:: 
    :width: 90%

    * - .. thumbnail:: images/gen_sim_grph_outputs/indOBS_vs_TIME/000001.svg
            :width: 200px
      - indOBS_vs_TIME

Generated parameter .csv files
==============================


:Fixed Effects: :download:`fx_params.csv (gen) <emax_complex_gen.pyml_output/fx_params.csv>`

:Random Effects: :download:`rx_params.csv (gen) <emax_complex_gen.pyml_output/rx_params.csv>`

:Model params: :download:`mx_params.csv (gen) <emax_complex_gen.pyml_output/mx_params.csv>`

:State values: :download:`sx_params.csv (gen) <emax_complex_gen.pyml_output/sx_params.csv>`

:Predictions: :download:`px_params.csv (gen) <emax_complex_gen.pyml_output/px_params.csv>`


:Observations: :download:`synthetic_data.csv (gen) <synthetic_data.csv>`


Inputs
******



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


.. code-block:: pyml

    f[EMAX] = 80.0000
    f[E50] = 20.0000
    f[GAMMA] = 0.5000
    f[ANOISE] = 3.0000

