linear_disease_progression_compartmental_model

[Generated automatically as a Generation summary]

Model Description

Name:: dp_compartmental
Title:: linear_disease_progression_compartmental_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 compartment increases linearly over time, but is initially reduced by the drug concentration.

Keywords:: PD; Pharmacodynamics; one compartment model; linear disease progression
Input Script:: dp_compartmental_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[DIS_BASE] = 200.0000
f[ALPHA] = 2.5000
f[BETA] = 0.3000
f[ANOISE] = 1.0000