This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

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Keyword Search Criteria: cluster returned 109 record(s)
Sunday, 08/01/2010
Evaluation of the Effect on Cost and Variances of the Group Quarters Cluster Size
Daniel Sommers, U.S. Census Bureau; Steven Hefter, U.S. Census Bureau
2:25 PM

Alternating Logistic Regressions for Cluster Trials with Binary Outcomes
John S. Preisser, The University of North Carolina at Chapel Hill; Jamie Perin, The University of North Carolina at Chapel Hill; Beth Reboussin, Wake Forest University School of Medicine
2:35 PM

A Bayesian Surveillance System for Detecting Clusters of Noninfectious Diseases
Albert Y. Kim, University of Washington
2:35 PM

Identifying Vulnerable Populations Through an Examination of the Association Between Multipollutant Profiles and Measures of Deprivation
John Molitor, Imperial College, London; Jason Su, University of California, Berkeley; Sylvia Richardson, Imperial College, London; Michael Jerrett, University of California, Berkeley
2:50 PM

Two-Stage Bridge Model for Binary Responses with Informative Cluster Size
Xiaoyun Li, Florida State University; Dipankar Bandyopadhyay, Medical University of South Carolina; Stuart R. Lipsitz, Brigham and Women's Hospital; Debajyoti Sinha, Florida State University; Debajyoti Sinha, Florida State University
2:50 PM

Comparing Methods of Estimating Treatment Effects on a Continuous Outcome in Multicenter Randomized Controlled Trials: A Simulation Study
Rong Chu, McMaster University; Lehana Thabane, McMaster University; Jinhui Ma, McMaster University; Eleanor Pullenayegum , McMaster University; Anne Holbrook, McMaster University
3:20 PM

Nonparametric Bayes Stochastically Ordered Latent Class Models
Hongxia Yang, Duke University; David Dunson, Duke University
4:05 PM

Informed Bayesian Biclustering of Microarray Data
Lisa Pham, Boston University; Mayetri Gupta, Boston University; Surajit Ray, Boston University; Eric Kolaczyk, Boston University
4:20 PM

Two-locus Analysis for Genome-wide Association Studies
Shurong Fang, Michigan Technological University; Qiuying Sha, Michigan Technological University
5:20 PM

Monday, 08/02/2010
Mode-Based Clustering with Applications to Information Visualization
Jia Li, Penn State; Xiaolong Zhang, Penn State

Energy Functions for Dimension Reduction and Graph Visualization
Lisha Chen, Yale University

Application of Fuzzy Clustering and Discriminant Analysis to Identify Neighborhood Population Characteristics and Health Needs
Ashely Pedigo, University of Tennessee; William Seaver, University of Tennessee; Agricola Odoi, University of Tennessee

The Impact of Small Cluster Size on Multilevel Models: A Monte Carlo Examination of Two-Level Models with Binary and Continuous Predictors
Bethany A. Bell, University of South Carolina; Grant B. Morgan, University of South Carolina; Jeffrey D. Kromrey, University of South Florida; John M. Ferron, University of South Florida

Grouping Pursuit and Feature Selection Over a Graph
Yunzhang Zhu, University of Minnesota; Xiaotong Shen, University of Minnesota

Effective Sampling Methodology for Program Evaluation in Developing Countries
Dhuly Chowdhury, RTI International; Karol Krotki, RTI International; Lauren Courtney, RTI International

Spatial Concentration of Mortality for the Five Leading Causes of Death in the United States, 2004--2006
Jay H. Kim, CDC/NCHS; Joe Fred Gonzalez, Jr., National Center for Health Statistics

Censoring Circumcision's Effect on HPV Clearance
Xiangrong Kong, Johns Hopkins Bloomberg School of Public Health

A Model for Multilevel Clustered Data with Informative Cluster Size Using Poisson Distribution
Ana-Maria Iosif, University of California, Davis; Allan Sampson, University of Pittsburgh

Inference for Clustered Data with Potentially Informative Cluster Size: An Overview
Somnath Datta, University of Louisville; Jaakko Nevalainen, University of Turku; Hannu Oja, University of Tampere
8:35 AM

Clustering of Time Series
Raja Velu, Syracuse University
8:35 AM

Mixture Regression Modeling of Next-Generation Sequencing Data
Naim Rashid, The University of North Carolina at Chapel Hill
8:35 AM

Robust Covariate Control in Cluster-Randomized Trials with MPLUS and WinBUGS
Jiaquan Fan, Westat
9:05 AM

Handling Missingness and Informative Cluster Sizes When Modeling Prevalence and Force of Infection
Marc Aerts, Hasselt University; Christel Faes, Hasselt University; Niel Hens, Hasselt University; Geert Molenberghs, I-BioStat
9:15 AM

Logistic Generalized Regression (LGREG) Estimator in Cluster Samples
Timothy Kennel, U.S. Census Bureau
9:20 AM

Unsupervised MR Brain Images Segmentation Using Fuzzy C-Means Based on Fuzzy Sufficient Dimension Reduction
Han-Ming Wu, Tamkang University
10:50 AM

Sample Size Requirement in Clustered Matched-Pair Design for Noninferiority Test
Jun-mo Nam, National Cancer Institute
11:20 AM

A Method for Improving List Building: Cluster Profiling
William Cecere, National Agricultural Statistics Service; Denise Alexandra Abreu, National Agricultural Statistics Service
11:20 AM

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

Extract Communities from Networks
Yunpeng Zhao, University of Michigan; Elizaveta Levina, University of Michigan; Ji Zhu, University of Michigan
2:50 PM

Understanding Diffusion of Innovative Treatments for Kidney Cancer Using Trees
Mousumi Banerjee, University of Michigan
3:05 PM

Graphically Dependent and Spatially Varying Dirichlet Process Mixtures
Long Nguyen, University of Michigan
3:05 PM

Tuesday, 08/03/2010
Detecting Differentially Expressed Genes in Microarray Data by Split-and-Recombine
Dongseok Choi, Oregon Health & Science University; Zhixin Kang, The University of North Carolina at Pembroke; George Tiao, The University of Chicago

Evaluating Functional Autocorrelation Within Spatially Distributed Neural Processing Networks
Gordana Derado, Emory University; DuBois Bowman, Emory University

Instrument Variable Analysis of Prostate Cancer Treatments for Clustered Binary Data
Anjun Cao, NovoNordisk; Dirk F. Moore, University of Medicine and Dentistry of New Jersey

Using GAM_K to Detect Clustering in MI Wood Products Companies
Juan Du, Kansas State University

Tandem Mass Spectrometry Data Analysis to Map Signaling Pathways and Protein Interaction Network
Yan Zhang, University of Michigan; Hye Kyong Kweon, University of Michigan; Philip Andrews, University of Michigan

Modeling and Clustering of Time-Course Data
Alejandro Murua, Université de Montréal
8:35 AM

Cluster Analysis Investigation of Video Streams and Archives
Brett Amidan, Pacific Northwest National Laboratory; Harold Trease, Pacific Northwest National Laboratory
8:35 AM

Evolutionary Clustering of SNP Haplotypes for Genomewide Association Studies
Karin S. Dorman, Iowa State University; Wei-Chen Chen, Iowa State University; Ranjan Maitra, Iowa State University
8:55 AM

Model-Based Semisupervised Clustering
Volodymyr Melnykov, North Dakota State University; Wei-Chen Chen, Iowa State University; Ranjan Maitra, Iowa State University
9:15 AM

Propensity Score Matching in Randomized Clinical Trials
Zhenzhen Xu, University of Michigan; John David Kalbfleisch, University of Michigan
9:20 AM

Dynamic Clustering of High-Dimensional Biological Data
Rebecka Jornsten, Chalmers/Gothenburg University; Jose Sanchez Lopez, Chalmers/Gothenburg University
9:25 AM

Application of Small-Area Estimation Methods to Emergency Department Data from the National Hospital Ambulatory Medical Care Survey
Vladislav M. Beresovsky, National Center for Health Statistics; Cathy Burt, National Center for Health Statistics; Van Parsons, National Center for Health Statistics; Nathaniel Schenker, National Center for Health Statistics
9:35 AM

Mixture Model Component Trees: A Visualization Tool for Merging Clusters
Rebecca Nugent, Carnegie Mellon University; Nema Dean, University of Glasgow
9:35 AM

Regularized Gaussian Mixture Modeling with Adaptive Covariance Shrinkage
Hyang Min Lee, Penn State; Jia Li, Penn State
9:55 AM

Inference for Changes in the Kappa Statistic in Multi-level Clustered Binary Data
Rebecca Roberts Andridge, The Ohio State University
10:35 AM

A New Estimator of Intraclass Correlation for Clustered Binary Data
Zhen Pang, Nanyang Technological University
10:50 AM

A Prior Distribution of Bayesian Nonparametrics Incorporating Distances of Various Types
Brian M. Hartman, Texas A&M University; David Dahl, Texas A&M University; Bani K. Mallick, Texas A&M University; Debabrata (Debu) Talukdar, State University of New York at Buffalo
10:50 AM

Nonidentifiable Issues in a Bayesian Cox Cluster Process Model for Functional Neuroimaging Data Analysis
Jian Kang, University of Michigan; Timothy D. Johnson, University of Michigan
10:55 AM

Fuzzy Clustering and Bayesian Model Selection for Peptide/Protein Identification
Soyoung Ryu, University of Washington; Vladimir Minin, University of Washington; Dave Goodlett, University of Washington
11:05 AM

Hospital Length-of-Stay Modeling by Coxian Phase-Type Regression with Heterogeneity
Xiaoqin Tang, Michigan State University; Zhehui Luo, Michigan State University; Joseph Gardiner, Michigan State University
11:20 AM

Inference About Clustering and Parametric Assumptions in Variance Covariance Estimation
Mikko Packalen, University of Waterloo; Tony Wirjanto, University of Waterloo
11:20 AM

Statistical Challenges in Modeling Health Symptoms During Menopausal Transition
Annette Dobson, University of Queensland; Gita Mishra, University of Queensland
11:35 AM

Thinning Random Forests
Jie Xu, The University of Alabama; J. Brian Gray, The University of Alabama
11:35 AM

Pointwise Testing of Functional Data
Shubing Wang, Merck & Co., Inc.; Jia Cao , Columbia University
2:20 PM

Using False Discovery Rates to Determine Cutoffs for Cluster Membership
Johanna Hardin, Pomona College
2:35 PM

Imputation Strategies for Missing Binary Outcomes in Cluster Randomized Trials
Jinhui Ma, McMaster University; Noori Akhtar-Danesh, McMaster University; Lisa Dolovich, McMaster University; Lehana Thabane, McMaster University
2:35 PM

Functional Clustering in Nested Designs
Abel Rodriguez, University of California, Santa Cruz; David Dunson, Duke University
2:45 PM

Multiple Hypothesis Testing by Clustering of Gene Profiles
Leesa Francis Wockner, University of Queensland; Geoffrey J. McLachlan, University of Queensland; Ian Wood, University of Queensland
2:50 PM

Consistency of Spectral Clustering for the Stochastic Block Model with a Growing Number of Blocks
Karl Greiner Rohe, University of California, Berkeley; Sourav Chatterjee, University of California, Berkeley; Bin Yu, University of California, Berkeley
2:55 PM

Challenges in the Design of the Canadian Community Health Survey on Healthy Aging
Leon Jang, Statistics Canada; Martin Provost, Statistics Canada; Adam Sherk, Statistics Canada
3:20 PM

Wednesday, 08/04/2010
Incorporating Data on Residential History for Disease Mapping
Caroline Jeffery, Harvard School of Public Health; Al Ozonoff, Boston University School of Public Health; Justin Manjourides, Harvard School of Public Health; Marcello Pagano, Harvard School of Public Health

Threshold-Free Cluster Enhancement (TFCE): Improving Power and Stability of Cluster Size Inference in Brain Imaging
Thomas E. Nichols, University of Warwick
8:35 AM

Group-Randomized Trials (GRT) in HIV/AIDS Research: How Often Is the Intraclass Correlation Ignored in Design and Analysis?
Ryan E. Wiegand, CDC; Sherri L. Pals, CDC; David Murray, The Ohio State University
8:55 AM

Assessing the Goodness of Fit of Risk Prediction Rules in a Clustered Data Setting
Bernard Rosner, Harvard Medical School; Weiliang Qiu, Harvard Medical School; MeiLing Ting Lee, University of Maryland
8:55 AM

Empty K-Means Skill-Set Profile Clustering in Educational Testing
Nema Dean, University of Glasgow; Rebecca Nugent, Carnegie Mellon University; Elizabeth Ayers, University of California, Berkeley
9:05 AM

A Horvitz-Thompson--Type Estimator of Species Richness
Steen Magnussen, Canadian Forest Service
9:15 AM

Classification of Functional Data: Unsupervised Curve Clustering When Curves Are Misaligned
Laura M. Sangalli, Politecnico di Milano; Piercesare Secchi, MOX - Dipartimento di Matematica, Politecnico di Milano; Simone Vantini, MOX - Dipartimento di Matematica, Politecnico di Milano; Valeria Vitelli, MOX - Dipartimento di Matematica, Politecnico di Milano
9:25 AM

Where Youth Buy Cigarettes: Clustering Patterns and Efficient Design
Christopher Patrick Cummiskey, RTI International; Victoria McNerney, RTI International; Karol Krotki, RTI International
9:35 AM

Hierarchical Clustering with Prototypes: Minimax Linkage
Jacob Bien, Stanford University; Rob Tibshirani, Stanford University
9:35 AM

Cluster Detection Using Scan Statistics and Risk Factors for Encephalitis from West Nile Virus Infection
Sarah Baraniuk, The University of Texas Health Science Center at Houston; Kristy Murray, The University of Texas Health Science Center at Houston
9:35 AM

Interval Estimation of Epidemiological Indices for Data Sampled from Clusters: A Review and an Extension
Tasneem Zaihra, University of New Brunswick; Sudhir Paul, University of Windsor
9:50 AM

Intensity-Based Estimation of Extreme Loss Event Probability and Value-at-Risk
Kam Hamidieh, Rice University; Stilian Stoev, University of Michigan; George Michailidis, University of Michigan
10:35 AM

Outcome-Informed Clustering of Gene Expression Profiles
Jessie Jann Hsu, Harvard University; David Schoenfeld, Harvard University; Dianne Finkelstein, Harvard University
10:35 AM

Variable Selection for Gene Expression Data via Hilbert-Schmidt Independence Criterion
Ali Ghodsi, University of Waterloo
10:50 AM

Automatic Smoothing Parameter Selection for Nonparametric Function Estimation with Clustered and Longitudinal Data
Jianhua Huang, Texas A&M University; Ganggang Xu, Texas A&M University
11:15 AM

Determining Differences in Functional Connectivity Using a Combined fMRI/DTI Analysis
DuBois Bowman, Emory University; Shuo Chen, Emory University; Gordana Derado, Emory University
11:35 AM

Quantitating Significance in Finite Mixture Models and Model-Based Clustering
Ranjan Maitra, Iowa State University; Volodymyr Melnykov, North Dakota State University
11:35 AM

Simulating Data to Study Performance of Finite Mixture Modeling and Clustering Algorithms
Volodymyr Melnykov, North Dakota State University; Ranjan Maitra, Iowa State University
11:55 AM

Analysis of Long-Period Variable Stars with Nonparametric Tests for Trend Detection
Woncheol Jang, The University of Georgia; Cheolwoo Park, The University of Georgia; Jeongyoun Ahn, The University of Georgia; Martin Hendry, University of Glasgow
2:05 PM

Bayesian Visual Analytics: A Formal Visual Navigation Scheme
Scotland Leman, Virginia Tech
2:05 PM

CAUSE-Sponsored Research Clusters
Sterling C. Hilton, Brigham Young University
2:05 PM

Bayesian Clustering for Failure-Time Data
Gary Rosner, The Johns Hopkins University; Peter Mueller, MD Anderson Cancer Center; Fernando Quintana, Pontificia Universidad Católica de Chile
2:25 PM

Efficient Exploration of Multiple ChIP-seq and ChIP-chip Data Sets
Hongkai Ji, The Johns Hopkins University
2:35 PM

Design Effects and Misspecification Effects for Cross-National Comparisons Where Sample Design Varies Between Countries
Olena Kaminska, University of Essex; Peter Lynn, University of Essex
2:45 PM

Estimation of Spatio-Temporal Relative Animal Density from Line Transect Data with Clustering and Censoring
Geof Givens, Colorado State University
2:45 PM

Semiparametric Pseudo-Maximum-Likelihood Estimation Exploiting Gene-Environment Independence for Population-Based Case-Control Studies with Complex Sampling
Barry I. Graubard, National Cancer Institute; Yan Li, The University of Texas at Arlington
2:55 PM

Clustering with Exclusion Zones: Genomic Applications
Mark Segal, University of California, San Francisco
3:05 PM

Bispectral-Based Methods for Clustering Nonlinear Time Series
Jane L. Harvill, Baylor University; Nalini Ravishanker, University of Connecticut; Bonnie Kathryn Ray, IBM T.J. Watson Research Center
3:25 PM

Thursday, 08/05/2010
Exploratory Data Analysis on Document Collections
Jeffrey Solka, Naval Surface Warfare Center; Avory Bryant, Navy
8:35 AM

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

Modeling Intraclass Correlation in the Design of Cluster-Randomized Trials with Binary Outcomes
Catherine M. Crespi, University of California, Los Angeles; Weng Kee Wong, University of California, Los Angeles
9:15 AM

Classification of Long Memory Processes: A Simulation Study
Ritaja Sur, University of Maryland; Benjamin Kedem, University of Maryland
9:20 AM

Distance-Based Probability Distributions on Set Partitions for Bayesian Nonparametric Models
David Dahl, Texas A&M University; Ryan Day, University of the Pacific; Jerry Tsai, University of the Pacific
9:25 AM

Estimation and Model Selection in a Class of Semiparametric Models for Longitudinal Data
Jialiang Li, National University of Singapore
9:35 AM

Model-Based Clustering for RNA-Seq Data
Yaqing Si, Iowa State University; Peng Liu, Iowa State University
9:35 AM

Evaluating Alternative Criteria for Primary Sampling Units Stratification
Khandaker Mansur, U.S. Census Bureau; Benjamin Reist, U.S. Census Bureau; Patrick Flanagan, U.S. Census Bureau
9:35 AM

Identifying General-Shaped Clusters Using the k-Means Algorithm
Anna D. Peterson, Iowa State University; Ranjan Maitra, Iowa State University; Arka Ghosh, Iowa State University
9:35 AM

Anomaly Detection Using Fusion of Graph Invariants on a Time Series of Graphs
Youngser Park, The Johns Hopkins University; Carey E. Priebe, The Johns Hopkins University; Abdou Youssef, The George Washington University
9:50 AM

Inverse Probability Weighting for Clustered Nonresponse
Chris Skinner, University of Southampton
10:35 AM

Distribution of Statistics of h-GAP Clusters for a Collection of Words
Deidra Andrea Coleman, North Carolina State University; Donald E.K. Martin, North Carolina State University
10:35 AM

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

Use of Propensity Weights and Categories in a Two-Stage Survey
Pedro Saavedra, ICF Macro; Martin Wulfe, ICF Macro; Daniel Geller, ICF Macro; Lee Harding, ICF Macro; Sheku Kamara, U.S. Department of Agriculture; Ted Macaluso, U.S. Department of Agriculture
10:50 AM

An Evaluation of Housing Unit and Block Cluster Effects on Small-Area Census Coverage Variability in the 2006 Census Test
Donald Malec, U.S. Census Bureau
11:00 AM

Spatial Scan Statistics with Overdispersion
Tonglin Zhang, Purdue University
11:15 AM

Partitioning of Functional Data for Understanding Heterogeneity in Psychiatric Conditions
Eva Petkova, New York University
11:25 AM

Model Selection of Correlation Structure for Clustered Data
Jianhui Zhou, University of Virginia; Peiyong (Annie) Qu, University of Illinois at Urbana-Champaign
11:35 AM

Assessing Clusterability in a Model-Based Framework
Ewa Nowakowska, GfK Polonia
11:50 AM

Bayesian Three-Dimensional Random-Shape Spatial Clustering
Timothy D. Johnson, University of Michigan; Jian Kang, University of Michigan
12:05 PM

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