:orphan: 





.. _direct_pd_gen:



Direct PD Model
###############

[Generated automatically as a Generation summary]

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


:Name: direct_pd

:Title: Direct PD Model

:Author: PoPy for PK/PD

:Abstract: 

| A simple direct PD Model, based on the amount of drug in the body.
| The amount in the central compartment is determined by K, which has been previously estimated for each individual.
| The amount in the central compartment influences the rate of removal of a biomarker (KOUT).

:Keywords: pd; one compartment model; direct

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

:Diagram: 


.. thumbnail:: direct_pd_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) <direct_pd_gen.pyml_output/fx_params.csv>`

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

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

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

:Predictions: :download:`px_params.csv (gen) <direct_pd_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[BASE] = 800.0000
    f[KOUT] = 0.0300
    f[ANOISE] = 0.5000

