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Sunday, 08/01/2010
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Bayesian Dynamic Item Response Models
Xiaojing Wang, Duke University; James Berger, Duke University; Donald Burdick, MetaMetrics, Inc.
2:05 PM
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Modeling Latent Effects in Space-Time Small-Area Health Data
Andrew Lawson, Medical University of South Carolina
2:35 PM
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A Semiparametric Bayesian Approach for Modeling Ordinal Survey Data
Saman Muthukumarana, Simon Fraser University; Tim B. Swartz, Simon Fraser University
2:35 PM
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Nonparametric Bayes Stochastically Ordered Latent Class Models
Hongxia Yang, Duke University; David Dunson, Duke University
4:05 PM
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Monday, 08/02/2010
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A latent space representation of overdispersed relative propensity in ``How many X's do you know?' data
Tyler McCormick, Columbia University; Tian Zheng, Columbia University
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Does Food-Grouping Make a Difference When Deriving Dietary Patterns Using Latent Class Models? A Monte Carlo Simulation Study
Daniela Sotres-Alvarez, The University of North Carolina at Chapel Hill; Amy H. Herring, The University of North Carolina at Chapel Hill; Anna Maria Siega-Riz, The University of North Carolina at Chapel Hill
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Statistical Reasons Why Preference-Scored Measures of HRQoL Disagree
Mari Palta, University of Wisconsin
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Cross-Covariance Functions for Multivariate Random Fields Based on Latent Dimensions
Marc Genton, Texas A&M University; Tatiyana Apanasovich, Thomas Jefferson University
8:55 AM
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Latent Class Analysis in Computer Expenditure Reports
Brian Meekins, Bureau of Labor Statistics; Clyde Tucker, Bureau of Labor Statistics; Paul Biemer, RTI International
9:20 AM
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Time Varying Covariates in Markov Latent Class Analysis: Some Problems and Solutions
Marcus E. Berzofsky, RTI International; Paul Biemer, RTI International; William D. Kalsbeek, The University of North Carolina at Chapel Hill
10:35 AM
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Multivariate Spatial Factor Analysis Using Gaussian Predictive Processes
Qian Ren, University of Minnesota; Sudipto Banerjee, University of Minnesota
10:50 AM
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Multilevel Bayesian models of survival and zero-inflated longitudinal patient-reported outcomes
Laura A. Hatfield, University of Minnesota; Mark E. Boye, Eli Lilly and Company; Michelle Denise Hackshaw, Eli Lilly and Company; Bradley P. Carlin, University of Minnesota
10:55 AM
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Generalized Structured Component Analysis with Latent Interactions
Heungsun Hwang, McGill University; Moon-Ho Ringo Ho, Nanyang Technological University; Jonathan Lee, California State University, Long Beach
11:05 AM
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Assessing Mathematical Achievement Using the ECLS-K Data: Does Rural Status Matter?
Laura A. Hildreth, Iowa State University
11:15 AM
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Marginal Analysis of Longitudinal Count Data from a Teenage Driving Study
Zhiwei Zhang, Eunice Kennedy Shriver National Institute of Child Health and Human Development; Paul S. Albert, Eunice Kennedy Shriver National Institute of Child Health and Human Development
11:20 AM
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Data Augmentation Strategies for the Bayesian Spatial Probit Regression Model
Candace Berrett, The Ohio State University; Catherine Calder, The Ohio State University
11:35 AM
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Optimal Filtering of Jump Diffusions: Extracting Latent States from Asset Prices
Jonathan Stroud, The George Washington University; Michael Johannes, Columbia University; Nicholas Polson, The University of Chicago
2:05 PM
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A Bayesian Latent Variable Model for Identifying Slow Early Fetal Growth
James C. Slaughter, Vanderbilt University; Amy H. Herring, The University of North Carolina at Chapel Hill
2:05 PM
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Evaluating Screening Tests for Chlamydia trachomatis in the Absence of a Gold Standard Test
Alula Hadgu, CDC; Liangliang Wang, The University of British Columbia; Nandini Dendukuri, McGill University
2:20 PM
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Bayesian Clustering and Sparse Modeling of Interactions in Epidemiology
Amy H. Herring, The University of North Carolina at Chapel Hill; David Dunson, Duke University
2:25 PM
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Functional Latent Feature Models
Naisyin Wang, University of Michigan
2:25 PM
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Marginal Method for Multilevel Incomplete Binary Data That Are Missing at Random
Baojiang Chen, University of Washington; Xiao-Hua Zhou, University of Washington
2:35 PM
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Modeling Heaping in Self-Reported Longitudinal Cigarette Count Data
Hao Wang, The Johns Hopkins University; Daniel F. Heitjan, University of Pennsylvania
2:55 PM
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Tuesday, 08/03/2010
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Mixed Models for Repeated Zero-Inflated Counts from Smoking Cessation Data
E. Paul Wileyto, University of Pennsylvania; Yimei Li, University of Pennsylvania; Daniel F. Heitjan, University of Pennsylvania
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Analyzing Cognitive Testing Data with Extensions of Item Response Theory Models
Jonathan Gruhl, University of Washington; Elena A. Erosheva, University of Washington; Paul K. Crane, University of Washington
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An Improved Test of Latent-Variable Model Misspecification in Structural Measurement Error Models for Group Testing Data
Xianzheng Huang, University of South Carolina
8:35 AM
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Logistic Regression with Floor and Ceiling Effects
David Rindskopf, CUNY Graduate Center
8:55 AM
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Generalized Functional Latent Feature Models with Single-Index Interactions
Raymond Carroll, Texas A&M University; Yehua Li, The University of Georgia; Naisyin Wang, University of Michigan
9:00 AM
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Group Testing in Heterogeneous Populations Using Halving Algorithms
Michael S. Black, University of Nebraska-Lincoln; Christopher R. Bilder, University of Nebraska-Lincoln; Joshua Tebbs, University of South Carolina
9:15 AM
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Latent Class-Profile Analysis: An Application to Stage-Sequential Process of Under-Age Drinking Behaviors
Hwan Chung, Ewha Womans University
9:35 AM
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A Penalized Pointwise Likelihood Approach for m-Year Precipitation Return Values Estimation Based on Regional Climate Model Output
Jun Zhang, Statistical and Applied Mathematical Sciences Institute; Wei Zheng, Eli Lilly and Company
9:35 AM
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Distribution-Free Models for Latent Population Mixtures
Hui Zhang, University of Rochester Medical Center
9:50 AM
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Latent Variable Modeling for Principal Stratification Analyses of Longitudinal Studies
Chen-Pin Wang, The University of Texas Health Science Center at San Antonio
9:50 AM
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The Inextricability of Reliability and Interfactor Correlation
Peter H. Westfall, Texas Tech University; Kevin S.S. Henning, Texas Tech University
9:55 AM
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Survey Measurement of Complex Latent Constructs: An Example from the National Long Term Care Survey (NLTCS)
Elena A. Erosheva, University of Washington
10:35 AM
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Latent Process Segmentation for Point Process Data
David Kessler, The University of North Carolina at Chapel Hill; David Dunson, Duke University; Brian Reich, North Carolina State University
10:55 AM
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Bayesian Modeling for Spatial Extreme Values
Huiyan Sang, Texas A&M University
11:00 AM
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Latent Class Profile Analysis with Dynamic Dirichlet Learning Process on Model Selection Problems
Hsiu-Ching Chang, Michigan State University; Hwan Chung, Michigan State University
11:05 AM
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Change Line Classification and Regression
Chaeryon Kang, The University of North Carolina at Chapel Hill; Fei Zou , The University of North Carolina at Chapel Hill; Hao Zhu, The University of North Carolina at Chapel Hill; Michael Kosorok, The University of North Carolina at Chapel Hill
11:20 AM
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Estimating Progression-Free Survival When the Progression Status of Some Patients Is Unknown
Ying Yuan, MD Anderson Cancer Center; Peter F. Thall, MD Anderson Cancer Center; Johannes Wolff, MD Anderson Cancer Center
11:55 AM
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Multilevel Models for the Analysis of Communication and Production Networks in Academia
Susana Eyheramendy, Pontificia Universidad Católica de Chile; Carlos Rodriguez, Pontificia Universidad Católica de Chile; Cristobal Garcia, Pontificia Universidad Católica de Chile
2:05 PM
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Propensity Score Matching to Recover Latent Experiments
Ben B. Hansen, University of Michigan
2:05 PM
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Dynamic Network Models for Baboons and the Wikipedia
David Banks, Duke University
2:30 PM
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Multiple Endpoints Analysis with Latent Variable via Pseudolikelihood
Juanmei Liu, Medtronic ; Minglei Liu, Medtronic
2:50 PM
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Probabilistic Modeling of Dynamic Networks Using Latent Space Models
Purnamrita Sarkar, Carnegie Mellon University; Andrew Moore, Google
2:55 PM
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Wednesday, 08/04/2010
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Are There Latent Decision Rules in Expert Occupational Exposure Assessments?
David C. Wheeler, National Cancer Institute; Kai Yu, National Cancer Institute; Melissa Friesen, National Cancer Institute
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Revealing Latent Quality Information Hidden Within Inspection Reports of Curtailed Tests
Tamar Gadrich, Ort Braude College; Emil Bashkansky, Ort Braude College
9:20 AM
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Analysis and Sensitivity Analysis for Incomplete Data
Geert Molenberghs, I-BioStat
10:35 AM
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High-Dimensional Nonparametric Bayes Modeling via Nonlinear Latent Factor Models
David Dunson, Duke University
10:55 AM
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Analysis of Longitudinal Data with Time-Varying Dependence on Observation Times
Na Cai, North Carolina State University; Wenbin Lu, North Carolina State University; Hao Helen Zhang, North Carolina State University
11:35 AM
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Involvement Trajectories on a Social Media Platform
Lynd Bacon, Loma Buena Associates; Peter Lenk, University of Michigan; Danielle Murray, Shutterfly, Inc.
2:05 PM
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Comparing the Performance of Composite Endpoints and Responder Definitions with a Unified Modeling Framework for Multiple Endpoints Within Clinical Trials
David Andrae, PPD, Inc.
2:20 PM
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Thursday, 08/05/2010
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Integrative Clustering of Multiple Genomic Data Types Using a Regularized Joint Latent Variable Model
Ronglai Shen, Memorial Sloan-Kettering Cancer Center; Adam B. Olshen, University of California, San Francisco; Sijian Wang, University of Wisconsin-Madison
9:00 AM
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Using Latent Class Models to Better Understand Reliability in Measures of Labor Force Status
Bac Tran, U.S. Census Bureau
9:55 AM
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Identifying Groups: A Comparison of Segmentation Methodologies
Sam Woolford, Bentley University; Abdolreza Eshghi, Bentley University; Dominique Haughton, Bentley University; Pascal Legrand, Group ESC-Clermont-CRCGM; Maria Skaletsky, Bentley University
10:50 AM
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Analysis of Discrete Choice Models with Latent Variable in Unobserved Component of Utility
Woosuk Kim, University of Cincinnati; Seongho Song, University of Cincinnati; Young Seuk Cho, Pusan National University
11:05 AM
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Partitioning of Functional Data for Understanding Heterogeneity in Psychiatric Conditions
Eva Petkova, New York University
11:25 AM
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Causal Inference with Latent Growth Mixture Modeling
Booil Jo, Stanford University
11:35 AM
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