linear_disease_progression_model

[Generated automatically as a Generation summary]

Model Description

Name:

dp_linear

Title:

linear_disease_progression_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; linear disease progression

Input Script:

dp_linear_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[ALPHA] = 0.3000
f[BETA] = 0.8000