# 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:

  `direct_pd_gen.pyml`

Diagram:

## Outputs

### Population simulated (sim) plots

| indOBS_vs_TIME

### 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)`

Observations:

  `synthetic_data.csv (gen)`

## Inputs

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

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