Cosine circadian model

[Generated automatically as a Generation summary]

Model Description

Name:: circ_cos
Title:: Cosine circadian model
Author:: PoPy for PK/PD
Abstract:

A PD Model based on the concentration of drug in the body.
The PD model uses a cosine function which simulates a circadian rhythm for the generation of a biomarker.
The amount in the central compartment is determined by CL and V, PK parameters, which have been estimated for each individual.
The concentration in the central compartment influences the rate of removal of a biomarker (KOUT).

Keywords:: PD; Pharmacodynamics; cosine function; Circadian rhythm
Input Script:: circ_cos_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[AMP] = 2.0000
f[INT] = 8.0000
f[KOUT] = 0.0500
f[ANOISE] = 3.0000