Combined circadian model

[Generated automatically as a Generation summary]

Model Description

Name:: circ_combined
Title:: Combined circadian model
Author:: PoPy for PK/PD
Abstract:

A PD Model based on the concentration of drug in the plasma.
The PD model uses three sine functions with different amplitudes and frequencies, which simulates a circadian rhythm for the generation of a biomarker.
The amount in the central compartment is determined by CL, V1, Q and V2, PK parameters, which have been previously estimated for each individual in the data file.
The amount in the central compartment influences the rate of production of a biomarker.

Keywords:: PD; Pharmacodynamics; sine function; Circadian rhythm
Input Script:: circ_combined_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[AMP1] = 1.2000
f[INT1] = 3.5000
f[AMP2] = 2.5000
f[INT2] = 6.0000
f[AMP3] = 3.2000
f[INT3] = 13.0000
f[KOUT] = 0.0500
f[ANOISE] = 5.0000