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Modeling Scenario

5-011-ModelingIbuprofren-ModelingScenario

Author(s): Brian Winkel

SIMIODE - Systemic Initiative for Modeling Investigations and Opportunities with Differential Equations

Keywords: data AIC Akaike Information Criterion absorption sum of square errors compartment model ibuprofen delay

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Abstract

Resource Image We consider modeling of data from a clinical experiment administered as oral doses of 400 mg ibuprofen, an analgesic pain reliever. Concentrations of ibuprofen in the serum/plasma of the subjects were recorded after the initial ingestion of the drug.

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Article Context

Description

Ibuprofen, an analgesic pain reliever, is ingested into the gastrointestinal tract by swallowing a pill of the substance or drinking a solution. The drug then moves to the serum or plasma (blood) where it travels to sites to do its work of pain relief.

We offer three different models and ask students to model, determine parameters, and compare models using the Akaike Information Criterion to determine which model is best.

In each case we ask students to determine the time at which individual models predict ibuprofen concentration is greatest in the plasma and compare that to the time of peak amount of ibuprofen from the data.

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Authors

Author(s): Brian Winkel

SIMIODE - Systemic Initiative for Modeling Investigations and Opportunities with Differential Equations

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