• Language: en
  • Documentation version: 1.3.1

emax_marker_model

[Generated automatically as a Generation summary]

Model Description

Name:

emax_biomarker

Title:

emax_marker_model

Author:

PoPy for PK/PD

Abstract:

An emax 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 estimated for each individual.
The concentration in the central compartment influences the rate of removal of a biomarker (KOUT).
Keywords:

PD; Pharmacodynamics; one compartment model; KIN; KOUT; emax; biomarker

Input Script:

emax_biomarker_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[KIN] = 10.0000
f[KOUT] = 0.0500
f[EMAX] = 80.0000
f[E50] = 30.0000
f[ANOISE] = 1.0000
Back to Top