This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 644
Type: Invited
Date/Time: Thursday, August 5, 2010 : 10:30 AM to 12:20 PM
Sponsor: ENAR
Abstract - #305950
Title: Partitioning of Functional Data for Understanding Heterogeneity in Psychiatric Conditions
Author(s): Eva Petkova*+
Companies: New York University
Address: Department of Child and Adolescent Psychiatry, New York, NY, 10016,
Keywords: principal points ; mixed effects model ; clustering ; placebo effect ; latent variables ; growth mixture models

An important goal in medical research is to identify groups of subjects characterized with a particular trait or quality and to distinguish them from other subjects in a clinically relevant way. Although measures of biological phenomena often exhibit symmetric shapes resembling a normal distribution, the statistical approaches predominantly applied have been based on an assumption of underlying categories, whether observed or latent. A method for partitioning of curves without the assumption of existing mixtures is proposed. It acknowledges the homogeneity of the distribution and provides a principled method for its partitioning. The method is applied to obtain medically useful partitioning of longitudinal data representing symptoms severity during antidepressant treatment.

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