Linear PD model

[Generated automatically as a Generation summary]

Model Description

Name:: linear_pd_pop
Title:: Linear PD model
Author:: PoPy for PK/PD
Abstract:

A simple (i.e. no PD compartments) Linear PD Model.

Model consists of a baseline which increases linearly with concentration.

Keywords:: pd; linear; one compartment model
Input Script:: linear_pd_pop_gen.pyml
Diagram:

Outputs

Individual simulated (sim) plots

Alternatively see All simulated_sim graph plots

Population simulated (sim) plots

(No population graphs were requested.)

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[BL] = 10.0000
f[SLOPE] = 1.0000
f[PNOISE] = 0.0100
f[ANOISE] = 0.5000
f[BL_isv,SLOPE_isv] = [
    [ 0.0500, 0.0000 ],
    [ 0.0000, 0.0300 ],
]