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Monday, 08/05/2013
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Risk Assessment for Rare Events Using Logistic Model Averaging
Chun-Shu Chen, National Changhua University of Education; Jin-Hua Chen, Graduate Institute of Biostatistics, China Medical University; Meng-Fan Huang, National Changhua University of Education
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Functional Genome-Wide Association Studies Using Sparse Group Lasso
Qing Pan, George Washington University; Yunpeng Zhao, George Mason University
8:50 AM
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Uncertainty in Propensity Score Estimation: Bayesian Methods for Variable Selection and Model-Averaged Causal Effects
Corwin Zigler, Harvard
8:55 AM
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Profile Thresholded Partial Correlation Approach for Variable Selection in Partial Linear Models
Lejia Lou; Runze Li, The Pennsylvania State University
9:05 AM
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Covariance-Assisted Screening and Estimation
Tracy Ke, Princeton University; Jiashun Jin, Carnegie Mellon University; Jianqing Fan, Princeton University
9:20 AM
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A Closer Look at the Median Probability Model for Bayesian Model Selection
Joyee Ghosh, The University of Iowa
9:25 AM
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Penalized Regression Approaches to Variable Selection in the Potential Outcomes Framework
Debashis Ghosh, Penn State University
9:35 AM
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Ecological Prediction with Nonlinear Multivariate Time-Frequency Functional Data Models
Christopher K. Wikle, University of Missouri; Wen-Hsi Yang, University of Missouri; Scott H. Holan, University of Missouri; Mark L. Wildhaber, U.S. Geological Survey
9:50 AM
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'Bootstrapping' by Variables: Using Resampling to Test the Robustness of Index Variables - an Application to Health Assessments
Arnold Mitnitski, Dalhousie University; Melissa Andrew, Dalhousie University; Kenneth Rockwood, Dalhousie University
9:50 AM
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Variable Selection and Inference Procedures for Marginal Analysis of Longitudinal Data with Missing Observations or Measurement Error
Grace Y Yi, University of Waterloo
10:35 AM
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Discrepancy Pursuit: A Nonparametric Framework for High-Dimensional Variable Selection
Li Liu, Carnegie Mellon University; Kathryn Roeder, CMU; Han Liu, Princeton University
10:55 AM
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Variable Selection of Spatial Generalized Linear Models: A Penalized Quasi-Likelihood Approach
Wenning Feng, Michigan State University; Chae Young Lim, Michigan State; Tapabrata Maiti, Michigan State University
11:05 AM
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Variable Selection in Regression Using Maximal Correlation and Distance Correlation
Deniz Yenigun, Bilkent University; Maria L. Rizzo, Bowling Green State University
11:35 AM
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Generalized Elastic Net Regression
Geoffroy Mouret, Ecole Polytechnique de Montreal; Jean-Jules Brault, Ecole Polytechnique de Montreal; Vahid Partovi Nia, École Polytechnique Montréal
11:50 AM
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Are the Classical Variable Selection Techniques Obsolete?
F. Michael Speed, SAS
11:55 AM
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Statistics Meets Computation: Efficiency Trade-Offs in High Dimensions
Martin Wainwright, UC Berkeley
2:05 PM
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Bayesian Additive Regression Trees for Variable Selection in Biological Data
Shane T. Jensen, The Wharton School, University of Pennsylvania; Justin Bleich, Wharton School, UPenn; Adam Kapelner, Statistics Department, The Wharton School at University of Pennsylvania; Edward George, Wharton University of Pennsylvania
2:05 PM
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EMVS: The EM Approach to Bayesian Variable Selection
Veronika Rockova, Erasmus University; Edward George, Wharton University of Pennsylvania
2:25 PM
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Particle Swarm Stepwise (PASS) Algorithm for Variable Selection
Ray-Bing Chen, National Cheng Kung University; Chien-Chih Huang, National Taiwan University; Weichung Wang, National Taiwan University
2:35 PM
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Sufficient Statistic Selection for Dynamic Networks
Xizhen Cai, Pennsylvania State University; David Hunter, Pennsylvania State University
2:35 PM
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Structuring Dependence in Regression: Spherical Symmetry and Variable Selection
Christopher Hans, Ohio State University; Steven MacEachern, Ohio State University; Agniva Som, Ohio State University
2:45 PM
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Tuesday, 08/06/2013
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Variable Selection for Optimal Treatment Regime
Na Zhang, North Carolina State University; Howard Bondell, NC State University; Eric Laber, NC State University
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A Robust Variable Selection Method for Grouped Data
Kristin Lilly, Auburn University; Nedret Billor, Auburn University
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Using Stochastic Search Gene Suggestion to Identify Single Nucleotide Polymorphisms Associated with Childhood Leukemia Risk in Case-Parent Triads
Michael Swartz, The University of Texas Health Science Center At Houston, School of Public Health; Ying Cao, The University of Texas Health Science Center of Houston, School of Public Health; Darryl Nousonme, University of Southern California; Philip Lupo, Baylor College of Medicine; Michael Scheurer, Baylor College of Medicine
8:35 AM
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Variable Selection for Varying-Coefficient Models via the Elastic Net Regularization
Hidetoshi Matsui, Kyushu University; Toshihiro Misumi, Astellas Pharma Inc.
8:35 AM
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Variable Selection in Measurement Error Models via Least Squares Approximation
Guangning Xu, North Carolina State University; Len Stefanski, North Carolina State University
8:50 AM
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Continual Reassessment Method with Bayesian Variable Selection in Phase I Clinical Trails
Zhenyu Zhao, Northwestern University
9:05 AM
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Controlling the Local False Discovery Rate in the Adaptive Lasso
Joshua Sampson, DCEG, National Cancer Institute; Nilanjan Chatterjee, National Cancer Institute; Raymond J. Carroll, Texas A&M University; Samuel Mueller, University of Sydney
9:05 AM
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Variable Selection with Overlapping Clustering
Thierry Chekouo Tekougang, The University of Texas MD Anderson Cancer Center; Alejandro Murua, University of Montreal
9:15 AM
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Variable Selection and Estimation with Nonconvex Penalty Functions
Sijian Wang, University of Wisconsin, Madison; Zhigeng Geng, University of Wisconsin, Madison; Grace Wahba, Department of Statistics, University of Wisconsin - Madison
9:15 AM
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Bayesian Variable Selection for Skewed and Heteroscedastic Error
Yuanyuan Tang, Florida State University; Debajyoti Sinha, Florida State University; Yiyuan She, Florida State University; Stuart Lipsitz, Brigham and Women's Hospital
9:35 AM
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Bayesian Probit Model with Spatially Varying Coefficients and Its Application to Functional Magnetic Resonance Imaging
Fengqing (Zoe) Zhang, Northwestern University; Wenxin Jiang, Northwestern University; Patrick C.M. Wong, Northwestern University; Ji-Ping Wang, Northwestern University
10:50 AM
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Regularization Methods for High-Dimensional Instrumental Variables Regression with an Application to Genetical Genomics
Wei Lin, University of Pennsylvania; Rui Feng, University of Pennsylvania; Hongzhe Li, University of Pennsylvania
11:05 AM
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Model Selection Criteria Based on Computationally Intensive Estimators of the Expected Optimism
Joseph Cavanaugh, University of Iowa
11:15 AM
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Variable Selection for Big Data via Bagging Adaptive Lasso and Precision Shrinking
Cory Lanker, Iowa State University of Science and Technology; Wen Zhou, Iowa State University; Max Morris, Iowa State University; Stephen Bruce Vardeman, Iowa State University; Huaiqing Wu, Iowa State University
11:20 AM
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Variable Selection for High-Dimensional Multivariate Outcomes
Tamar Sofer, Harvard School of Public Health; Lee Dicker, Rutgers University; Tamar Sofer, Harvard School of Public Health
11:45 AM
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Variable Selection with Multiply Imputed Data When Considering Interaction Effects
Aya Mitani, Stanford University; Allison W. Kurian, Stanford University; Amar K. Das, Dartmouth University; Manisha Desai, Stanford University
11:50 AM
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Robust Adaptive Functional Mixed Models for Correlated Functional Data
Hongxiao Zhu, Virginia Tech; Jeffrey S. Morris, The University of Texas MD Anderson Cancer Center
2:25 PM
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Variable Selection in Kernel-Based Nonparametric Regression
Len Stefanski, North Carolina State University; Kyle White, NC State University; Yichao Wu, NC State University
2:55 PM
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Variable Selection for Support Vector Machine on High Dimensions
Xiang Zhang, North Carolina State University; Lan Wang, University of Minnesota; Runze Li, The Pennsylvania State University; Yichao Wu, NC State University
3:05 PM
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Predictive Modeling with High-Dimensional Colorimetric Image Data for Lung Cancer Detection
Xiaofeng Wang, Cleveland Clinic Lerner Research Institute; Peter J. Mazzone, Cleveland Clinic Foundation
3:25 PM
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Wednesday, 08/07/2013
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Perspectives on High-Dimensional Data Analysis
Ejaz Syed Ahmed, Brock University
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Effects of Correlated Covariates on the Efficiency of Propensity Score--Based Estimators Using Estimated Propensity Score
Ronnie Pingel, Uppsala University; Ingeborg Waernbaum, Umeå University
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Variable Selection in Complex High-Dimensional Data Based on Principal Fitted Components
Moumita Karmakar, University of Maryland Baltimore County; Kofi Placid Adragni, University of Maryland, Baltimore County
8:50 AM
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Hidden Heritability and Risk-Prediction Based on Genome-Wide Association Studies
Nilanjan Chatterjee, National Cancer Institute; JuHyun Park, National Cancer Instutute; Joshua Sampson, DCEG, National Cancer Institute
9:00 AM
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Single-Index Model with Diverging Number of Index Parameters
Guannan Wang, University of Georgia; Lily Wang, The University of Georgia
9:35 AM
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A Single Index Model with Varying Coefficients for Heterogeneous Data
Jianhui Zhou, University of Virginia; Feiyang Niu, University of Virginia
9:55 AM
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Bayesian Variable Selection in Linear and Semiparametric Models
Hongmei Zhang, University of South Carolina; Xianzheng (Shan) Huang, University of South Carolina-Columbia; Arnab Maity, North Carolina State University; Hasan Arshad, University of Southampton, UK; Tara Sabo-Attwood, University of Florida; Wilfried Karmaus, University of Memphis
10:35 AM
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High-Dimensional Variable Selection for Logistic Regression
Naveen Naidu Narisetty, University of Michigan; Xuming He, University of Michigan; Juan Shen, University of Michigan
10:50 AM
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Assessment of Jointly Dependent Markov Processess Through Bayes Factors and Bayesian Variable Selection
David Engler, Department of Statistics, Brigham Young University; Brian Healy, Department of Neurology, Harvard Medical School
11:05 AM
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Criteria for Bayesian Model Choice with Application to Variable Selection
Jim Berger, Duke University; Susie Bayarri, University of Valencia; Anabel Forte, Universitat Jaume I; Gonzalo Garcia-Donato, Universidad de Castilla-La Mancha
11:20 AM
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A Variable Selection Technique for Detecting Climate Change Attribution
Siddhartha Nandy, Michigan State University; Chae Young Lim, Michigan State; Tapabrata Maiti, Michigan State University
2:35 PM
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Paradigm of Genetic Risk Prediction: Variable Selection or Mixed Model
Peng Wei, Univeristy of Texas School of Public Health
3:25 PM
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Thursday, 08/08/2013
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Consistent Variable Selection via Penalized Credible Regions and Confidence Sets
Howard Bondell, NC State University; Funda Gunes, SAS Institute; Brian J. Reich, North Carolina State University
8:35 AM
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On Variable Selection Using Additive Conditional Independence
Kuang-Yao Lee, Yale University; Bing Li, The Pennsylvania State University; Hongyu Zhao, Yale University
8:35 AM
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Binomial Mixture Models for Urban Ecological Monitoring Studies Using American Community Survey Demographic Covariates
Guohui Wu, University of Missouri; Scott H. Holan, University of Missouri; Charles Nilon, University of Missouri; Christopher K. Wikle, University of Missouri
8:50 AM
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Correcting the Bias of Variable Selections in Cost-Sensitive Learning
Hongjuan Liu; Bei Zhou, Johnson & Johnson Pharmaceutical R&D
8:50 AM
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Survival Prediction and Variable Selection with Simultaneous Shrinkage and Grouping Priors for Gene Expression Microarray Data
Sounak Chakraborty, University of Missouri-Columbia; Kyu Ha Lee , Harvard School of Public Health ; Jianguo Sun, University of Missouri-Columbia
8:55 AM
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Variable Selection and Prediction Using a Nested, Matched Case-Control Study: Application to Hospital-Acquired Pneumonia in Stroke Patients
Jing Qian, University of Massachusetts; Payabvash, Massachusetts General Hospital; Andre Kemmling, Massachusetts General Hospital; Michael Lev, Massachusetts General Hospital; Lee Schwamm, Massachusetts General Hospital; Rebecca A. Betensky, Harvard School of Public Health
8:55 AM
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On the Semi-Supervised Joint-Trained Elastic Net
Mark V. Culp, West Virginia University
9:05 AM
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Bayesian Variable Selection in Linear Mixed Models with Shrinkage Priors
Mingan Yang, Central Michigan University
9:15 AM
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Bayesian Variable Selection Methods for Matched Case-Control Studies
Josephine Asafu-Adjei, Harvard School of Public Health; Mahlet Tadesse, Georgetown University; Brent A. Coull, Harvard School of Public Health; Raji Balasubramanian, Division of Biostatistics and Epidemiology; Rebecca A. Betensky, Harvard School of Public Health
9:15 AM
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Random Forest Variable Selection Among Correlated Variables
Joy Toyama; Christina Kitchen, UCLA
9:20 AM
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An Integrative Bayesian Modeling Approach to Imaging Genetics
Francesco Stingo, UT MD Anderson Cancer Center; Michele Guindani, The University of Texas MD Anderson Cancer Center; Marina Vannucci, Rice University; Vince Calhoun, University of New Mexico
9:35 AM
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UPS Delivers Optimal Phase Diagram in High-Dimensional Variable Selection
Pengsheng Ji, University of Georgia; Jiashun Jin, Carnegie Mellon University
9:35 AM
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Integration of Biological Information in the Analysis of High-Dimensional Matched Case-Control Data
Mahlet Tadesse, Georgetown University; Josephine Asafu-Adjei, Harvard School of Public Health; Raji Balasubramanian, Division of Biostatistics and Epidemiology; Brent A. Coull, Harvard School of Public Health; Rebecca A. Betensky, Harvard School of Public Health
9:35 AM
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Statistical Models for High-Dimensional Compositional Data with Applicatins to Microbiome Data
Hongzhe Li, University of Pennsylvania
10:35 AM
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Objective Bayes Variable Selection for Well-Formulated Models
Daniel Taylor Rodriguez, University of Florida; Nikolay Bliznyuk, University of Florida; Linda Young, University of Florida; Andrew Womack, University of Florida
10:55 AM
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Poisson Mixture Models for Next-Generation RNA Sequencing Data
Qiwei Li, Rice University; Marina Vannucci, Rice University; Heng Lian, Nanyang Technological University
11:05 AM
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Bayesian Kernel-Based Modeling and Selection of Genetic Pathways and Genes for Cancer
Zhenyu Wang, University of Missouri, Columbia; Sounak Chakraborty, University of Missouri-Columbia; Jianguo Sun, University of Missouri-Columbia
11:20 AM
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Ultrahigh Dimensional Time Course Feature Selection
Yi Li, University of Michigan; Peirong Xu, East China Normal University; Lixing Zhu, Hong Kong Baptist University
11:50 AM
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Selection of Valid Instruments in Mendelian Randomization
Hyunseung Kang, Wharton School, University of Pennsylvania; Tony Cai, University of Pennsylvania; Dylan S Small, University of Pennsylvania
11:55 AM
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