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

Abstract Details

Activity Number: 257
Type: Contributed
Date/Time: Monday, August 2, 2010 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #308919
Title: Analysis of Multidimensional Profiles with Small Sample Sizes Using Nonparametric Methods and U-Scores
Author(s): Margo Sidell* and Leann Myers+
Companies: Tulane University and Tulane University
Address: 1440 Canal St, New Orleans, LA, 70112,
Keywords: Multidimensional Data ; Multivariate Analysis ; Small Sample Size
Abstract:

Recent studies have compared different approaches to analysis of data with large number of measures (p) relative to n, the number of subjects (e.g., Myers, et al 2009). This type of data is found in many fields including public health, biology and anthropology. Traditional multivariate analysis methods such as MANOVA are not optimal for data with high p/n ratios so appropriate analysis of these data presents a challenge. An alternative non parametric method for testing equality of group centroids and u-scores for multivariate data were explored using simulations. The robustness of these methods with respect to Type I error was assessed for various p to n ratios, overall sample sizes, and correlations between measures.


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