# Direct PD Model Simultaneous PK/PD Parameter fit

[Generated automatically as a Generation summary]

## Model Description

Name:

  direct_pd_simul

Title:

  Direct PD Model Simultaneous PK/PD Parameter fit

Author:

  PoPy for PK/PD

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:

  `direct_pd_simul_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[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