JSM 2004 - Toronto

JSM Activity #382

This is the preliminary program for the 2004 Joint Statistical Meetings in Toronto, Canada. 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, 2004); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Legend: = Applied Session, = Theme Session, = Presenter
FRY = Fairmont Royal York, ICH = InterContinental Hotel, TCC = Metro Toronto Convention Center
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382 Applied Session Wed, 8/11/04, 2:00 PM - 3:50 PM TCC-715 A
Odds, Ratio, Risk, Matching, and Case Control Studies - Contributed - Papers
Section on Statistics in Epidemiology
Chair(s): W. Scott Clark, Eli Lilly and Company
     2:05 PM   Case Control Studies after RDD: New Sample Designs and Analysis Strategies — Ralph DiGaetano, Westat; Barry I. Graubard, National Cancer Institute; Sowmya R. Rao, National Cancer Institute; ; Sholom Wacholder, National Institutes of Health
     2:20 PM   Matched Samples Logistic Regression in Case-control Studies with Missing Values: When to Break the Matches — Harry J. Khamis, Wright State University; Lisbeth Hansson, Uppsala University
     2:35 PM   Interval Estimation of the Difference in Proportions under M-to-one Matching — Kung-Jong Lui, San Diego State University
     2:50 PM   Odds Ratio Estimates for Case-control Studies Subject to Informatively Missing and Misclassified Exposure — Robert H. Lyles, Emory University; Andrew S. Allen, Duke University; W.D. Dana Flanders, Emory University; Lawrence L. Kupper, University of North Carolina, Chapel Hill; Deborah L. Christensen, Emory University
     3:05 PM   The Odds-risk Inequality and Odds-risk Conversion — Peng T. Liu, U.S. Food and Drug Administration
     3:20 PM   The Drane-Wang Modification of the Logistic Dose Response Function — J. Wanzer Drane, University of South Carolina; Huei Wang, Eli Lilly and Company; Walter W. Piegorsch, University of South Carolina; James Hussey, University of South Carolina; Francisco Sy, Centers for Disease Control and Prevention
     3:35 PM   Limitations of the Log Binomial Regression Model for Estimating Risk or Prevalence Ratios — Leigh Blizzard, University of Tasmania; David W. Hosmer, University of Massachusetts
 

JSM 2004 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2004