Direct PD Model

[Generated automatically as a Generation summary]

Model Description

Name:: direct_pd_pop
Title:: Direct PD Model
Author:: PoPy for PK/PD
Abstract:

A simple direct PD Model, i.e, no delay compartments, 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_pop_gen.pyml
Diagram:

Outputs

Individual simulated (sim) plots

Alternatively see All simulated_sim graph plots

Population simulated (sim) plots

(No population graphs were requested.)

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[PNOISE] = 0.1000
f[ANOISE] = 0.5000
f[BASE_isv,KOUT_isv] = [
    [ 0.0500, 0.0000 ],
    [ 0.0000, 0.0100 ],
]