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Activity Details


414 Tue, 8/5/2014, 2:00 PM - 3:50 PM CC-Exhibit Hall B2
Contributed Oral Poster Presentations: Section on Bayesian Statistical Science — Contributed Poster Presentations
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA)
Chair(s): Daniel S. Cooley, Colorado State University   
24: Asymptotic Properties of the Bayes and Pseudo-Bayes Estimators of Ability in Item Response Theory Haruhiko Ogasawara, Otaru University of Commerce
25: Predictive Posterior Power Estimation for Sample Determination Marc Sobel, Temple University ; Ibrahim Turkoz, Janssen
26: Markov Chain Monte Carlo Implementation of Empirical Bayes and Likelihood Inference Yeonhee Park, University of Florida ; Hani Doss, University of Florida
27: A Bayesian Approach to Modeling Measurement Errors Jennifer Weeding ; Mark Greenwood, Montana State University
28: Bayesian Sample Size Determination for Informative and Complementary Hypotheses Kristen Tecson, Baylor University ; John W. Seaman, Baylor University
29: Eliciting Informative Priors for Bayesian Hurdle Models Joyce Cheng, Baylor University ; David Kahle, Baylor University ; John W. Seaman, Baylor University
30: Probing Interactions in Multiple Regression: Frequentist Versus Bayesian Approaches Yu Liu, Arizona State University ; Roy Levy, Arizona State University ; Stephen G. West, Arizona State University
31: Writing Error-Free MCMC Code Margaret Short, University of Alaska Fairbanks
32: Model Misspecification and Improved Algorithms in Cases of Preferential Sampling in Population Dynamics Michael Karcher, University of Washington ; Julia A. Palacios, Brown University ; Trevor Bedford, Fred Hutchinson Cancer Research Center ; Vladimir Minin, University of Washington
33: Modified Continual Reassessment Method in Phase I Clinical Trials of Categorical and Numerical Response Models Ying Ji, University of Texas at San Antonio ; Xiaobin Yang, Analytic Focus ; Keying Ye, University of Texas at San Antonio
34: Applications of Bregman Divergence Measures in Sparse High-Dimensional Problems Gyuhyeong Goh, University of Connecticut ; Dipak Dey, University of Connecticut
35: Modeling Multiple Types of Outcomes Using SASĀ® PROC MCMC Sitaram Vangala, University of California, Los Angeles ; Li-Jung Liang, University of California, Los Angeles ; Yih-Ing Hser, University of California, Los Angeles Integrated Substance Abuse Programs
36: Case Studies Utilizing a Bayesian Informative Prior to Reduce Sample Size in Clinical Trials Julie Brevard, Quanticate
37: A Bayesian Framework to Detect Differentially Methylated Loci in Both Mean and Variability with Next-Generation Sequencing Shuang Li ; Varghese George, Georgia Regents University ; Duchwan Ryu, Georgia Regents University ; Xiaoling Wang, Georgia Regents University ; Shaoyong Su, Georgia Regents University ; Huidong Shi, Georgia Regents University ; Robert H. Podolsky, Wayne State University ; Hongyan Xu, Georgia Regents University
38: A Bayesian Framework for Joint Analysis of Heterogeneous Data Esther Salazar, Duke University
39: Bayesian and Frequentist Blinded Sample Size Adjustment for Risk Differences Andrew Hartley, PPD ; Anita Moghe, PPD ; Savanna Steele, PPD
40: Performance of Constant Accrual Model and Alternatives on Clinical Data and Simulation Yu Jiang, University of Kansas Medical Center ; Byron Gajewski, University of Kansas Medical Center ; Steve Simon, P. Mean Consulting/University of Missouri-Kansas City ; Matthew S. Mayo, Kansas University Medical Center



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