:orphan: 





.. _emax_simple_gen:



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

[Generated automatically as a Generation summary]

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


:Name: emax_simple

:Title: Emax PD Model

:Author: PoPy for PK/PD

:Abstract: 

| A simple emax PKPD Model, based on the amount of drug in the body.
| The two compartment PK model uses previously estimated values of K, K21 and K12 for each individual
| The amount in the central compartment influences the effect compartment along with EMAX (the maximum effect) and EC50 (the amount at which the effect is half the maximum)

:Keywords: PD; Pharmacodynamics; two compartment model; emax; EC50

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

:Diagram: 


.. thumbnail:: emax_simple_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_simple_gen.pyml_output/fx_params.csv>`

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

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

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

:Predictions: :download:`px_params.csv (gen) <emax_simple_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[ANOISE] = 1.0000

