This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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644
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Type:
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Invited
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Date/Time:
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Thursday, August 5, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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ENAR
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| Abstract - #305950 |
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Title:
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Partitioning of Functional Data for Understanding Heterogeneity in Psychiatric Conditions
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Author(s):
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Eva Petkova*+
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Companies:
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New York University
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Address:
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Department of Child and Adolescent Psychiatry, New York, NY, 10016,
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Keywords:
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principal points ;
mixed effects model ;
clustering ;
placebo effect ;
latent variables ;
growth mixture models
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Abstract:
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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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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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