JSM 2005 Online Program

JSM Activity #275

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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The Program has labeled the meeting rooms with "letters" preceding the name of the room, designating in which facility the room is located:

Minneapolis Convention Center = “MCC” Hilton Minneapolis Hotel = “H” Hyatt Regency Minneapolis = “HY”

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275	Tue, 8/9/05, 10:30 AM - 12:20 PM	MCC-205 B
Model Building, Model Assessment, and Propensity Score-based Methods - Contributed - Papers
Section on Statistics in Epidemiology, ENAR, Biometrics Section
Chair(s): Zheng Zhang, Emory University
10:35 AM	Hybrid Matching in Observational Studies: Combining Simple Matching with Propensity Score-based Matching Methods — Daniel Parks, GlaxoSmithKline; Kwan R. Lee, GlaxoSmithKline; Bong Kim, Newmann College
10:50 AM	Raking as a Form of Propensity Scoring — David R. Judkins, Westat
11:05 AM	Simplifying Measurement of Cardiovascular Risk in Urban Jamaica: The Role of Multivariate Methods — Tamika Royal, University of the West Indies; Novie Younger, University of the West Indies; Terrence Forrester, University of the West Indies; Richard Cooper, Loyola University Medical Center; Rainford Wilks, University of the West Indies
11:20 AM	Navigating around a Large Statistical Blindspot: Inferring Clinical Outcomes for Undersampled Populations of Orthodontics Cases from Results Sampled from Different Populations — Christopher Overton, Align Technology; Xiaorong Chen, Align Technology
11:35 AM	Properties of R-square Statistics for Logistic Regression — Bo Hu, University of Wisconsin, Madison; Mari Palta, University of Wisconsin, Madison; Jun Shao, University of Wisconsin, Madison
11:50 AM	A Comparison of Two Models with Full Bayesian Framework for Early Detection of Prostate Cancer — Wonsuk Yoo, New Jersey Institute of Technology; Elizabeth Slate, Medical University of South Carolina
12:05 PM	Floor Discussion