:orphan: 





.. _direct_pd_simul_gen:



Direct PD Model Simultaneous PK/PD Parameter fit
################################################

[Generated automatically as a Generation summary]

Inputs
******



Description
===========

:Name: direct_pd_simul

:Title: Direct PD Model Simultaneous PK/PD Parameter fit

:Author: Wright Dose Ltd

:Abstract: 

| A simple direct PD Model, based on the amount of drug in the body. That simultaneously fits PK and PD parameters.
| 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_simul_gen.pyml <direct_pd_simul_gen.pyml>`

:Diagram: 


.. thumbnail:: direct_pd_simul_gen.pyml_output/gen/compartment_diagram.svg
    :width: 200px


True f[X] values
================

.. code-block:: pyml

    f[CL] = 2.0000
    f[V] = 50.0000
    f[BASE] = 800.0000
    f[KOUT] = 0.0300
    f[PK_ANOISE] = 0.5000
    f[PD_ANOISE] = 0.3000



Outputs
*******



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


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

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

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

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

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


:Synthetic Data: :download:`synthetic_data.csv (gen) <synthetic_data.csv>`


Plots
*****



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



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


Alternatively see :ref:`direct_pd_simul_dense_sim_plots`