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277
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Tue, 8/9/05, 10:30 AM - 12:20 PM
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MCC-Level Two Lobby B
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Contributed Poster Session 4 - Contributed - Posters
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IMS, General Methodology, Section on Bayesian Statistical Science, Biometrics Section, Biopharmaceutical Section, Section on Statistical Computing, Section on Statistical Consulting, Section on Nonparametric Statistics, Section on Quality and Productivity
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Organizer(s): Ying Kuen Cheung, Columbia University
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Chair(s): Ying Kuen Cheung, Columbia University
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Poster Topic: Bayesian Statistics, Hierarchical Models:
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01:
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Analysis of DNA Repair Studies through Bayesian Hierarchical Models for Mixtures —  Abel Rodriguez, Duke University; Dunson David, National Institute of Environmental Health Sciences
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02:
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Discrete Time Unobserved Components Models — Miguel Alamo, Bayes Inference, S. A.; Miguel Arranz, Bayes Inference, S. A.
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Poster Topic: Biometrics, Biostatistics, Epidemiology:
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03:
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The Probability of Type-I Error when Maximizing Multipoint Lod Scores over Model Parameters: A Simulation Study — Chao Xing, Case Western Reserve University; Robert C. Elston, Case Western Reserve University
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04:
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Behavior of Agreement Measures in the Presence of Zeroes in Cells and Biased Marginal Distributions — Shankar Viswanathan, University of North Carolina, Chapel Hill; Shrikant Bangdiwala, University of North Carolina, Chapel Hill
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05:
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Inter and Intralaboratory Reproducibility of In Vitro Toxicological Assays — Christina Bromley, BioStat Solutions, Inc.; Nicola Richardson-Harman, BioStat Solutions, Inc.; Brigitte Beer, Southern Research Institute; James Cummins, Southern Research Institute; Carol Lackman-Smith, Southern Research Institute; Ron Bromley, BioStat Solutions, Inc.; Patricia Reichelderfer, National Institutes of Health
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Poster Topic: Cognitive Science, Linguistics, Artificial Intelligence:
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06:
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Semisupervised Machine Learning Technique — Morteza Marzjarani, Saginaw Valley State University
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Poster Topic: Computational Statistics and Numerical Methods:
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07:
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Interval Estimation of a Finite Mixture Model: Modeling a Distribution of P-values — Qinfang Xiang, University of Missouri, Rolla; Gary Gadbury, University of Missouri, Rolla; Jode Edwards, Iowa State University
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Poster Topic: General:
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08:
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Density Power Divergence — Ian Harris, Southern Methodist University
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Poster Topic: Genetics, Bioinformatics, Computational Biology:
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09:
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Multiple Imputation Method for SNP Typing Data in Linkage Disequilibrium Mapping of Polygenic Traits — Yasunori Sato, Tokyo University of Science; Hidekazu Ando, Tokyo University of Science; Akihiro Hirakawa, Tokyo University of Science; Hideki Suganami, Tokyo University of Science; Chikuma Hamada, Tokyo University of Science; Isao Yoshimura, Tokyo University of Science; Teruhiko Yoshida, National Cancer Center Research Institute; Kimio Yoshimura, National Cancer Center Research Institute
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10:
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Comparative Heterogeneity by Comparative Correlations — Amanda Blackford, Johns Hopkins University; Jeanne Kowalski, Johns Hopkins University; Jyoti Mehrotra, Johns Hopkins University; Marianna Zahurak, Johns Hopkins University; Saraswati Sukumar, Johns Hopkins University
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11:
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Accelerating the EM Algorithm for Haplotype Reconstruction from Population Genotype Data — Hormuzd Katki, National Cancer Institute; Ravi Varadhan, Johns Hopkins University; Christophe Roland, Université des Sciences et Technologies de Lille; Bingshu E. Chen, National Institutes of Health; Philip S. Rosenberg, National Cancer Institute
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12:
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The Analysis of Oligonucleotide Microarray Data at the Raw Image Level — Jeff Palmer, Carnegie Mellon University
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13:
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Holding the Specified False Discovery Rate in Differential Expression Testing Using the Local Pooled Error Method — Michael O'Connell, Insightful Corp.; Stephen Kaluzny, Insightful Corp.
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14:
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Hierarchical Bayesian Analysis for Temporal Microarray Gene Expression Data — Xueya Cai, University at Buffalo; Yulan Liang, University at Buffalo; Yue Li, University of Rochester
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15:
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Modeling Correlated Structures in Sequence Motif Problems — Qing Zhou, Harvard University; Wing Hung Wong, Stanford University
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Poster Topic: Linear Models, GLMs, Parametric Methods:
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16:
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Generalized Confidence Intervals for Variance Components in Mixed Linear Models — Brent Burch, Northern Arizona University
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17:
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The General Definition and Utility of Correlation Coefficients — Rudy Gideon, University of Montana
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18:
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Building Variance Models for Regression with Heteroscedasticity — Fassil Nebebe, Concordia University; Tak K. Mak, Concordia University
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19:
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Comparison between the LASSO and the Parametric Stepwise Selection Methods in the Context of Linear Regression — Won Sun Chen, Clinical Research Center, Ministry of Health Malaysia; Jeremy Nadolski, Benedictine University
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Poster Topic: Semiparametric, Nonparametric Methods:
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20:
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Multiple Comparisons of Medians Using Permutation Tests — Scott J. Richter, University of North Carolina, Greensboro; Melinda McCann, Oklahoma State University
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22:
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Classification Based on Data Depth — Asuman Turkmen, Auburn University; Sai V. Nudurupati, Auburn University; Asheber Abebe, Auburn University; Nedret Billor, Auburn University
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= Applied Session,
= Theme Session,
= Presenter