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This is the preliminary program for the 2009 Joint Statistical
Meetings in Washington, DC.
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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 2009 Program page |
= Applied Session,
= Theme Session,
= Presenter| 116 | Mon, 8/3/09, 8:30 AM - 10:20 AM | CC-143C |
| New Statistical Methods in Epidemiologic Studies - Contributed - Papers | ||
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Section on Statistics in Epidemiology |
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| Chair(s): Elizabeth R. Zell, CDC | ||
| 8:35 AM |
On Testing the Homogeneity of Across Quantile Changing-Point Functions —  Nanshi Sha, Columbia University; Ying Wei, Columbia University
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| 8:50 AM |
Semiparametric Inference for a Two-Stage Outcome-Auxiliary Dependent Sampling Design with Continuous Outcomes — Yuanshan Wu, The University of North Carolina at Chapel Hill; Haibo Zhou, The University of North Carolina at Chapel Hill
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| 9:05 AM |
Evaluating Prenatal PCB Exposure in Relation to Cognitive Function in Children with a Partial Linear Model — Haibo Zhou, The University of North Carolina at Chapel Hill; Guoyou Qin, The University of North Carolina at Chapel Hill; Matthew Longnecker, National Institute of Environmental Health Sciences
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| 9:20 AM |
Empirical Likelihood Methods in Efficient Design and Inference of Randomized Clinical Trials — Xiaoru Wu, Columbia University; Zhiliang Ying, Columbia University
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| 9:35 AM |
Use of Variance Component Estimators to Assess Predictive Model Stability — Michael Jones, Macquarie University
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| 9:50 AM |
Using Empirical Likelihood Confidence Regions to Establish Spirometry Limits — Nancy L. Glenn , Texas Southern University
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| 10:05 AM |
Semiparametric Regression Splines Models for Detecting Effect Modification in Matched Case-Crossover Studies — Inyoung Kim, Virginia Polytechnic Institute and State University; Ho Kim, Seoul National University
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JSM 2009
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. |