Disease progression with inter-occasional variance

[Generated automatically as a Generation summary]

Model Description

Name:: dp_iov
Title:: Disease progression with inter-occasional variance
Author:: Andrew Cristinacce @ PoPy for PK/PD
Abstract:

Specifies both the pop_gen and pop_fit subscripts.
Drug concentration defined by one compartment model with first order absorption, using pre-defined PK parameters.
Individuals are split into four dose groups.
The concentration in the CENTRAL compartment affects the drug effect, which is an emax model.
The disease progression model is affected by the concentration. Higher concentrations reduce the disease status
Inter-occasional variance is included in the LEVEL_PARAMS section and includes 3 occasions.

Keywords:: one compartment model; iov; inter occasional variance; emax; absorption
Input Script:: dp_iov_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[BASE] = 400.0000
f[ALPHA] = 0.0250
f[EMAX] = 0.4000
f[EC50] = 1.8000
f[ANOISE] = 0.1000
f[BASE_isv,ALPHA_isv,EC50_isv] = [
    [ 0.1000, 0.0000, 0.0000 ],
    [ 0.0000, 0.0500, 0.0000 ],
    [ 0.0000, 0.0000, 0.9000 ],
]
f[BASE_iov,ALPHA_iov] = [
    [ 0.0300, 0.0000 ],
    [ 0.0000, 0.0200 ],
]