JSM 2005 Online Program

Abstract #302981

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	183
Type:	Topic Contributed
Date/Time:	Monday, August 8, 2005 : 2:00 PM to 3:50 PM
Sponsor:	Biometrics Section
Abstract - #302981
Title:	Mining Huge-p-Small-n Data and New Image Registration Procedures
Author(s):	Xiaofeng Wang*+ and Jiayang Sun and Kath Bogie
Companies:	Case Western Reserve University and Case Western Reserve University and The Cleveland FES Center
Address:	Department of Statistics, Cleveland, OH, 44106-7054, United States
Keywords:	Data mining ; Image registration ; Simultaneous inferences ; FDR procedures ; Wheelchair users ; Pressure sores
Abstract:	This paper is concerned with analyzing image data and developing an effective clinic protocol from neuromuscular electrical stimulation (NMES) experiments. For each subject in each session done over time, our data consist of three sequences of images, each of which is under a predefined set of conditions: no stimulation, on-off alternation stimulation, and no stimulation. Thus our data is large in its dimension and small in its sample size, which belongs to a challenging case in current research of data mining. In addition, images taken at differences sessions from the same subject may not align spatially. There also may be artifacts from differences between on-off moments if images from different on-off sessions are not aligned temporally. We develop a spatial and a temporal registration scheme so potential image differences due to a treatment can be examined after registration. We propose a statistical smoothing mapping (SSM) method for analyzing large image data, simultaneously. This leads to an efficient procedure for computing "FDR" movie/map to determine whether a change is clinically relevant or spurious. The control of the FDR under dependency is studied here.

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