Abstract #300523

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JSM 2003 Abstract #300523
Activity Number: 425
Type: Contributed
Date/Time: Wednesday, August 6, 2003 : 2:00 PM to 3:50 PM
Sponsor: Biopharmaceutical Section
Abstract - #300523
Title: Model Selection for a Chemical Inhibition Process: Using Five Models
Author(s): Pali Sen*+
Companies: University of North Florida
Address: 4567 St. Johns Bluff Rd. S., Jacksonville, FL, 32224-2646,
Keywords: additive model ; AIC ; coefficient of variation ; combination model ; product model
Abstract:

The combined effects of the activities of different chemicals are of interest to many researchers. One chemical may promote, or inhibit the effects of a second chemical. The behavior is attributed to the chemical balance for different dose levels of the combining chemicals. Here we model the distributions over time for two chemicals' effects jointly to study the interaction effects. Five combinations of a simple flow of a chemical distribution are used to build the five models. Two are additive in nature, one is a product model, and the remaining two are of combination models. Using nonlinear least squares methods we fit an experimental data to all the models and estimate the parameters. We assess the fit of the data by using the Akaike's criterion for maximum likelihood estimates, and it's related other coefficients to select a best model. The coefficients of variation for the parameter estimates are also used in determining the model selection.

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