Abstract #300727

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JSM 2003 Abstract #300727
Activity Number: 60
Type: Contributed
Date/Time: Sunday, August 3, 2003 : 4:00 PM to 5:50 PM
Sponsor: Biometrics Section
Abstract - #300727
Title: Classification Rules for Repeated Measures
Author(s): Anuradha Roy*+ and Ravindra Khattree
Companies: University of Texas, San Antonio and Oakland University
Address: Dept. of Management Science & Stats, San Antonio, TX, 78249-1130,
Keywords: repeated measures ; classification rules ; correlation structures
Abstract:

Repeated measures are very common in biology, biomedical, epidemiological, psychological, and pharmaceutical research. We propose classification rules, under the assumption of multivariate normality, for populations with certain structured and unstructured mean vectors and under certain covariance structures. The effect on the misclassification error rate (MER) is examined when the true variance-covariance matrix for the repeated measures was structured and when it was estimated as structured as opposed to being estimated as unstructured. The correlation structure between the repeated measures plays an important role. Simulation results are used to study the impact of this correlation and the number of time points at which the repeated measures are taken on the MER.

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