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Sunday, 08/01/2010
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Better Learning About the MTD in Phase I Oncology Trial: A Case Study Implementing Bayesian Design Based on Continuous Reassessment Method
Inna Perevozskaya, Pfizer Inc.
2:25 PM
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Adaptive Confidence Intervals for Regression Coefficients in Q-Learning
Eric B. Laber, University of Michigan; Min Qian, University of Michigan; Susan Murphy, University of Michigan
2:35 PM
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Differences in Student Experiences in an Undergraduate Biostatistics Course: Online vs. Hybrid. vs. Face-to-Face
Darryl L. Corey, Kennesaw State University; M. Louise Lawson, Kennesaw State University
4:50 PM
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Grouped Variables Independence Screening in Sparse Ultra High-Dimensional Feature Space
Rui Song, Colorado State University
5:05 PM
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Comparison of Student Outcomes in an Undergraduate Biostatistics Course: Online vs. Face-to-Face vs. Hybrid
M. Louise Lawson, Kennesaw State University; Darryl L. Corey, Kennesaw State University
5:20 PM
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Monday, 08/02/2010
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Efficient Classification for Longitudinal Data
Xianlong Wang, Fred Hutchinson Cancer Research Center; Peiyong (Annie) Qu, University of Illinois at Urbana-Champaign
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Classroom Activities for Investigating the Occurrence of Two Unusual Events
Kate Thomas, California State University, Chico; Neil C. Schwertman, California State University, Chico
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Investigative Learning in Elementary Statistics at a Liberal Arts Institution
Mary Majerus, Westminster College; Erin Haller Martin, Westminster College
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An Active Approach to Statistical Inference Using Randomiztion Methods
Todd Swanson, Hope College; Nathan Tintle, Hope College; Jill VanderStoep, Hope College; Vicki-Lynn Holmes, Hope College; Brooke Quisenberry, Hope College
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Learning to Fly Without a Net: Inferring Legal Causation
Herbert Weisberg, Correlation Research, Inc.
8:35 AM
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Statistical Literacy: A Short Course
Gerald J. Hahn, GE Global Research (Retired); Necip Doganaksoy, GE Global Research; Ricki Lewis, Author and geneticist; Jane E. Oppenlander, Union Graduate College; Josef Schmee, Union College (Retired)
8:35 AM
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Large-Margin, Single-Path Hierarchical Classification with a General Loss
Lingzhou Xue, University of Minnesota; Xiaotong Shen, University of Minnesota
9:55 AM
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Teaching to Diversity
Patrick Arbogast, Vanderbilt University; Nora Donaldson, Kings College London Dental Institute; Jodi Lapidus, Oregon Health & Science University; Gary Shapiro, Statistics Without Borders; Violeta Alicia Nolberto Sifuentes, Universidad Nacional Mayor de San Marcos
10:35 AM
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Hierarchical Model Building, Fitting, and Checking: A Behind-the-Scenes Look at a Bayesian Analysis of Arsenic Exposure Pathways
Peter F. Craigmile, The Ohio State University; Catherine Calder, The Ohio State University; Hongfei Li, IBM T.J. Watson Research Center; Rajib Paul, Western Michigan University; Noel A. Cressie, The Ohio State University
11:05 AM
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Learning Regulatory Network from Multiple Genomics Array Data
Pei Wang, Fred Hutchinson Cancer Research Center; Jie Peng, University of California, Davis
11:25 AM
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Interaction Detection for Business Forecasting
Dan Steinberg, Salford Systems
11:50 AM
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Spectral Regularization Algorithms for Learning Large Incomplete Matrices
Rahul Mazumder, Stanford University; Trevor Hastie, Stanford University; Rob Tibshirani, Stanford University
2:05 PM
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Estimating Optimal Dynamic Treatment Regimes with Shared Decision Rules Across Stages: An Extension of Q-learning
Bibhas Chakraborty, Columbia University; Erica E.M. Moodie, McGill University
2:05 PM
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Prediction of Advertiser Churn for Google AdWords
Sangho Yoon, Google; Jim Koehler, Google; Adam Ghobarah, Google
2:20 PM
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Statisticians: 3, Computer Scientists: 35
David Purdy, University of California, Berkeley
3:20 PM
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Tuesday, 08/03/2010
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Discovering Influential Variables: A Partition-Based Learning Method to Identify Susceptible Genetic Risk Factors in Common Human Disorders
Tian Zheng, Columbia University; Herman Chernoff, Harvard University; Shaw-Hwa Lo, Columbia University
8:35 AM
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A Hierarchical Bayesian Model of Learning in the Acquisition of a Skill
Jun Lu, American University; Dongchu Sun, University of Missouri; Paul Speckman, University of Missouri-Columbia; Jeff Rouder, University of Missouri
8:55 AM
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Personalized Medicine Trials in Non-Small Cell Lung Cancer
Michael Kosorok, The University of North Carolina at Chapel Hill; Yufan Zhao, Amgen Inc.; Donglin Zeng, The University of North Carolina at Chapel Hill; Mark Socinski, The University of North Carolina at Chapel Hill
9:00 AM
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Professional Organizations and the Learning of Statistics After College
Jorge Luis Romeu, Syracuse University
10:05 AM
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Ensemble Classification Based on Generalized Additive Models
Koen W. De Bock, Ghent University; Kristof Coussement, Université Catholique de Lille; Dirk Van den Poel, Ghent University
10:35 AM
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Learning Outcomes for Undergraduate Statistics Programs
Scott D. Grimshaw, Brigham Young University; Natalie Blades, Brigham Young University; Del T. Scott, Brigham Young University
10:35 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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An Undergraduate Senior Seminar Driven by Pro Bono Statistical Consulting
Douglas Andrews, Wittenberg University
11:20 AM
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Outlier Detection Methods for Improving Boosting
Waldyn Martinez Cid, The University of Alabama; J. Brian Gray, The University of Alabama
11:20 AM
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Thinning Random Forests
Jie Xu, The University of Alabama; J. Brian Gray, The University of Alabama
11:35 AM
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Service Learning Through Statistical Consulting
Tracy L. Morris, University of Central Oklahoma
11:35 AM
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Order-Preserving Factor Discovery with Misaligned Data
Arnau Tibau Puig, University of Michigan; Ami Wiesel, University of Michigan; Alfred O. Hero, University of Michigan
2:05 PM
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Multivariate Dyadic Regression Trees for Sparse Learning Problems
Han Liu, Carnegie Mellon University; Xi Chen, Carnegie Mellon University
2:05 PM
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Fast Stochastic Frank-Wolfe Algorithms for Nonlinear SVMs
Hua Ouyang, Georgia Institute of Technology; Alexander Gray, Georgia Institute of Technology
2:25 PM
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Sparse Distance-Weighted Discrimination and the Oracle Theory
Lingsong Zhang, Purdue University; Xihong Lin, Harvard School of Public Health
2:30 PM
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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
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Using the Dice-Based Golf Game GOLO to Illustrate Discrete Probability Distributions and Sampling Distributions on Proportions
Paul L. Stephenson, Grand Valley State University; Mary Richardson, Grand Valley State University; John Gabrosek, Grand Valley State University; Diann Reischman, Grand Valley State University
3:25 PM
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Wednesday, 08/04/2010
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Just-in-Time Teaching and Its Modifications in the Statistics Classroom
John D. McKenzie, Jr., Babson College
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Team-Based Learning for Introductory Statistics
Laura Chihara, Carleton College; Katherine St. Clair, Carleton College
8:35 AM
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The Distributional Efficacy of Collaborative Learning Recitation Sessions on Student Outcomes
James K. Self, Indiana University; Kim P. Huynh, Indiana University; David T. Jacho-Chavez, Indiana University
8:50 AM
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Sparse Semisupervised Methods for Predicting Patient Survival Probabilities with Large-Scale Biological Data
Karthik Devarajan, Fox Chase Cancer Center
8:50 AM
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Learning Functional Brain Connectivity with Time-Series Bayesian Network from fMRI Data
Xiangxiang Meng, University of Cincinnati; Xiaodong Lin, Rutgers University
9:20 AM
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Moving Toward a Quantitative Literacy Core Competency Requirement
A. John Bailer, Miami University
9:20 AM
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Introducing Statistical Research to Undergraduate Mathematical Statistics Students using the Video Game Series Guitar Hero
Ivan Ramler, St. Lawrence University
9:50 AM
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Automatic Multiple-Stage Classification of Sleep Stages of Songbirds
Hong Xu, Nanyang Technological University; Zhiyi Chi, University of Connecticut; Daniel Margoliash, The University of Chicago; Sylvan Shank, The University of Chicago
10:05 AM
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Building the Biostatistics Pipeline
Vanessa Xanthakis, Boston University School of Public Health; Allison Cox, Upward Bound Math Science, Boston University; Carlee Moser, Boston University School of Public Health; Audrey Hendricks, Boston University School of Public Health; Alisa Manning, Boston University School of Public Health; Jacqueline Milton, Boston University School of Public Health; Rachel Hunter-Merrill, Boston University School of Public Health; Sean Lacey, Boston University School of Public Health; Robin Young, Boston University; Josee Dupuis, Boston University School of Public Health; Lisa M. Sullivan, Boston University School of Public Health
10:35 AM
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Determining the Genic Contribution to Disease by Evaluating Component SNPs
Benjamin Alan Goldstein, University of California, Berkeley; Alan Hubbard, University of California, Berkeley; Lisa Barcellos, University of California, Berkeley
11:20 AM
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Online Forecasting and Prediction of Spacio-Temporal Processes with Dynamic Covariance Estimation
Dave Zes, University of California, Los Angeles
11:50 AM
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High-Dimension, Low-Sample-Size Asymptotics Using Deterministic Geometric Structure of Stochastic Data: Application to an Extension of SVM for Data on Manifolds
Suman Kumar Sen, Novartis Pharmaceuticals Corporation; J. S. Marron, The University of North Carolina at Chapel Hill; Mark Foskey, The University of North Carolina at Chapel Hill; Sarang Joshi, The University of Utah
2:20 PM
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Learning with Dynamic Visualizations
Leanna House, Virginia Tech; Scotland Leman, Virginia Tech
2:25 PM
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Studying Student Learning Trajectories for Sampling Distributions by Using Simulation Activities
Aaron Weinberg, Ithaca College; Stacey Hancock, Reed College; Jennifer Noll, Portland State University; Sean Simpson, Westchester Community College
2:45 PM
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Validity of Statistical and Computational Methods to Ascertain Causes of Death: Can They Outperform Physicians?
Christopher J.L. Murray, Institute for Health Metrics and Evaluation; Jeanette Kurian Birnbaum, Institute for Health Metrics and Evaluation; Abraham D. Flaxman, Institute for Health Metrics and Evaluation; Sean Green, Institute for Health Metrics and Evaluation
2:45 PM
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Accurate Parameter Estimation Using High-Dimensional Astrophysical Data
Joseph William Richards, Carnegie Mellon University
3:05 PM
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Discovering Personalized Therapy for Cystic Fibrosis by Reinforcement Learning
Yiyun Tang, The University of North Carolina at Chapel Hill; Michael Kosorok, The University of North Carolina at Chapel Hill
3:05 PM
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Thursday, 08/05/2010
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Asymptotic Theory for Q-Learning with Support Vector Regression Under Right Censoring
Yair Goldberg, The University of North Carolina at Chapel Hill; Michael Kosorok, The University of North Carolina at Chapel Hill; Donglin Zeng, The University of North Carolina at Chapel Hill; Yufan Zhao, Amgen Inc.
9:25 AM
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GAISE Into Online Discussions
Michelle Everson, University of Minnesota
10:35 AM
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A Simulation Study to Evaluate Sample Size and Power for a Trial to Develop a Prediction Rule Using Machine Learning Methods
Radha Railkar, Merck & Co., Inc.; Matthew Wiener, Merck & Co., Inc.; Leonidas Carayannopoulos, Merck & Co., Inc.
11:20 AM
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