emax_disease_progression_compartmental_model

[Generated automatically as a Generation summary]

Model Description

Name:: dp_emax
Title:: emax_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.
The effect of the drug concentration is limited by an emax model

Keywords:: PD; Pharmacodynamics; one compartment model; linear disease progression; emax; E50
Input Script:: dp_emax_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[S0] = 200.0000
f[EMAX] = 30.0000
f[E50] = 10.0000
f[ALPHA] = 2.5000
f[BETA] = 0.3000
f[ANOISE] = 1.0000