tumour_growth_model

[Generated automatically as a Generation summary]

Model Description

Name:: dp_tumour
Title:: tumour_growth_model
Author:: Andrew Cristinacce @ PoPy for PK/PD
Abstract:

Specifies both the pop_gen and pop_fit subscripts.
A disease progression model, based on the concentration of drug in the central compartment.
The amount in the central compartment is determined by CL/V, which has been previously estimated for each individual.
The disease increases linearly over time, but is initially reduced by the drug concentration.

Keywords:: PD; Pharmacodynamics; one compartment model; absorption; tumour growth
Input Script:: dp_tumour_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[KIN] = 0.0200
f[KOUT] = 0.0500
f[ANOISE] = 0.5000