# Direct PD Model

[Generated automatically as a Generation summary]

## Inputs

### Description

Name: | direct_pd
Title: | Direct PD Model
Author: | Wright Dose Ltd
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: | `direct_pd_gen.pyml`
Diagram: |

### True f[X] values

    f[BASE] = 800.0000
    f[KOUT] = 0.0300
    f[ANOISE] = 0.5000

## Outputs

### Generated parameter .csv files

Fixed Effects: | `fx_params.csv (gen)`
Random Effects: | `rx_params.csv (gen)`
Model params: | `mx_params.csv (gen)`
State values: | `sx_params.csv (gen)`
Predictions: | `px_params.csv (gen)`
Synthetic Data: | `synthetic_data.csv (gen)`

## Plots

### Dense sim plots

Alternatively see All dense_sim graph plots