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This is the preliminary program for the 2007 Joint Statistical
Meetings in Salt Lake City, Utah.
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The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2007 Program page |
= Applied Session,
= Theme Session,
= Presenter
387
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Wed, 8/1/07, 8:30 AM - 10:20 AM | CC-250 D |
| Bayesian Methods and Applications in Epidemiology - Contributed - Papers | ||
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Section on Statistics in Epidemiology, Section on Teaching Statistics in the Health Sciences, Section on Health Policy Statistics |
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| Chair(s): Bo Cai, University of South Carolina | ||
| 8:35 AM |
HIV Dynamics and Natural History Studies: Joint Modeling with Interval-Censored Event Times and Sparse Longitudinal Data — Li Su, Brown University; Joseph W. Hogan, Brown University
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| 8:50 AM |
Covariate-Adjusted Constrained Bayes Predictions of Random Intercepts and Slopes — Robert Lyles, Emory University; Renee Moore, University of Pennsylvania; Amita K. Manatunga, Emory University; Kirk Easley, Emory University
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| 9:05 AM |
Family-Based Case-Control Studies — Li Zhang, The Cleveland Clinic; Bhramar Mukherjee, University of Michigan
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| 9:20 AM |
Regression Models for Paired Censored Exponential and Gamma Distributions — Michael P. Jones, Macquarie University; Don R. McNeil, Macquarie University
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| 9:35 AM |
Modeling a Cross-Sectional Response Variable with Longitudinal Predictors: An Example of Pulse Pressure and Pulse Wave Velocity — Veena Shetty, National Institutes of Health; Christopher Morrell, Loyola College in Maryland; Samer S. Najjar, National Institutes of Health
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| 9:50 AM |
ROC Analysis for Longitudinal Disease Diagnostic Data Without a Gold Standard Test — Chong Wang, Cornell University; Bruce W. Turnbull, Cornell University; Yrjö T. Gröhn, Cornell University; Søren S. Nielsen, The Royal Veterinary and Agricultural University
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| 10:05 AM | Floor Discussion | |
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JSM 2007
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. |