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Sunday, 08/01/2010
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Inference for Day-to-Day Dynamic Traffic Models
Martin Luke Hazelton, Massey University; Katharina Parry, Massey University
2:20 PM
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Modeling Dependence in Reverse Phase Protein Arrays
Donatello Telesca, University of California, Los Angeles; Peter Muller, MD Anderson Cancer Center; Yuan Ji, MD Anderson Cancer Center
2:25 PM
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An Alternative Estimation of Sliced Inverse Regression
Qin Wang, Virginia Commonwealth University; Xiangrong Yin, The University of Georgia
2:50 PM
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Modeling Adverse Birth Outcomes Through a Factor Model for Bayesian Quantile Regression
Lane F. Burgette, Duke University; Jerome P. Reiter, Duke University
2:50 PM
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Mapping Local Risk Ratios of Rare Infectious Diseases with Aggregate Data
Nong Shang, CDC
3:20 PM
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Frequent Deadlines in Statistics Courses: If Health Executives Learn Better When They Are Enforced, Why Won't Undergraduate Students?
Lawrence Fulton, Texas State University, San Marcos; Lana Ivanitskaya, Central Michigan University; Dmitry Erofeev, Central Michigan University
4:05 PM
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Self-Paced Online Introductory Statistics Course
Olcay Akman, Illinois State University
4:20 PM
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A Comparison of Several Methods for Analyzing Data from Thorough QT Studies
Hong Tian, Johnson & Johnson; Wenqian Qiao, Rutgers University; Jaya Natarajan, Johnson & Johnson
4:25 PM
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Sequential Analytic Methods for Prospective Drug Safety Surveillance
Lingling Li, Harvard Medical School/Harvard Pilgrim Health Care Institute
4:30 PM
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Teaching a Second Statistics Course for QBIC: A Special Program at Florida International University
Ramon Gomez, Florida International University
4:35 PM
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Overcoming Adverse Effects of Correlations in Microarray Data Analysis
Linlin Chen, Rochester Institute of Technology; Alexander Gordon, University of North Carolina Charlotte; Galina Glazko, University of Rochester
4:35 PM
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Using Logistic Regression of Sparse Data to Predict Influenza
Hector Lemus, San Diego State University
4:35 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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Discovering Sparse Covariance Structures with the Isomap
Amy Wagaman, Amherst College; Elizaveta Levina, University of Michigan
5:05 PM
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Dimension-Reduced Kernel Estimation for Distribution Functions with Incomplete Data
Zonghui Hu, National Institutes of Health
5:05 PM
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Assessing the Causal Effect of Treatment Dosages in the Presence of Self-Selection
Xin Gao, University of Michigan; Michael R. Elliott, University of Michigan
5:05 PM
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The Orthogonal Matching Pursuit Algorithm on Sparse Linear Regression
Lie Wang, MIT; Tony Cai, University of Pennsylvania
5:20 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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Reliability of Relative Standard Errors Computed from NHDS Public Use Data Files
Bill Cai, National Center for Health Statistics; Iris Shimizu, National Center for Health Statistics
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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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Online Sampling Course Offered at Penn State
Mosuk Chow, Penn State
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Readings for Intro Stat Courses
Veda Abu-Bakare, Langara College
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What Is the 'Right' First Course in Statistics for Our Math Majors?
Eric Nordmoe, Kalamazoo College
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Incorporating Lean Six Sigma Into an MBA Statistics Course
Darcy Hille, Merck & Co., Inc.; Paulette Ceesay, Merck & Co., Inc.
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Improving the Propensity Score Equal Frequency Adjustment Estimator Using an Alternative Weight
Daniel K. Yang, Oregon State University; Alix I. Gitelman, Oregon State University; Virginia M. Lesser, Oregon State University; David S. Birkes, Oregon State University
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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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Methods for Comparing Across-Target Sequences in Small-Scale qRT-PCR Experiments
Stuart W. Gardner, Iowa State University; Jack M. Gallup, Iowa State University; Max Morris, Iowa State University; F. Chris Minion, Iowa State University
8:35 AM
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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
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Topics on Analyzing Recurrent Event Data with Sparsely Observed Longitudinal Information
Ye Shen, Yale University; Yongtao Guan, Yale University
8:35 AM
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Inference for Kappas for Longitudinal Study Data: Applications to Sexual Health Research
Yan Ma, Hospital for Special Surgery, Weill Medical College of Cornell University; Wan Tang, University of Rochester; Changyong Feng, University of Rochester Medical Center; Xin M. Tu, University of Rochester
8:50 AM
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Odds Ratio Bias in Case-Control Studies Using Robust Genetic Models
Neal Jeffries, National Heart, Lung, and Blood Institute
8:55 AM
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Analyzing Data from a Split-Plot Experiment When the Observations Have Overdispersed Poisson Distributions
Jia Liu, Iowa State University; Philip Michael Dixon, Iowa State University
9:05 AM
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Efficient Kriging for Large Spatial Fields
Karl Pazdernik, Iowa State University; Ranjan Maitra, Iowa State University; Douglas Nychka, National Center for Atmospheric Research; Stephan Sain, National Center for Atmospheric Research
9:20 AM
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A Simultaneous Confidence Band for Sparse Longitudinal Regression
Shujie Ma, Michigan State University; Lijian Yang, Michigan State University; Raymond Carroll, Texas A&M University
9:35 AM
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Sparse Multivariate Regression with Covariance Estimation
Adam Rothman, University of Michigan; Elizaveta Levina, University of Michigan; Ji Zhu, University of Michigan
9:35 AM
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Teaching Statistical Literacy as a Quantitative Rhetoric Course
John S. Schmit, Augsburg College
9:35 AM
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Relaxed Estimating Equations for Sparse Mark Variable Regression
Brent Johnson, Emory University
10:35 AM
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Penalized Estimation of Sparse High-Dimensional--Directed Acyclic Graphs
George Michailidis, University of Michigan
10:35 AM
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Analysis of Discrete Longitudinal Data Using Weighted Pseudo-Likelihood Method
Abdus Sattar Sattar, Case Western Reserve University
10:35 AM
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Challenges in Large Sections: GAISE-ing Toward Solutions
Kim Gilbert, The University of Georgia; Patti B. Collings, Brigham Young University; Rob Gould, University of California, Los Angeles; Jennifer Kaplan, Michigan State University; W. Robert Stephenson , Iowa State University
10:35 AM
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Unsupervised MR Brain Images Segmentation Using Fuzzy C-Means Based on Fuzzy Sufficient Dimension Reduction
Han-Ming Wu, Tamkang University
10:50 AM
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Blockwise Sparse Cox Regression
Insuk Sohn, Samsung Medical Center; Jinseog Kim, Dongguk University; Sin-Ho Jung, Duke University; Changyi Park, University of Seoul
10:50 AM
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Joint Inference of Sparse Network and Genetic Association in Genetical Genomics Studies
Hongzhe Li, University of Pennsylvania
11:00 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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Sufficient Dimension Reduction and Variable Selection for Censored Regression
Wenbin Lu, North Carolina State University; Lexin Li, North Carolina State University
11:05 AM
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A Two-Stage Hybrid Procedure for Estimating an Inverse Regression Function
Runlong Tang, University of Michigan; Moulinath Banerjee, University of Michigan; George Michailidis, University of Michigan
11:05 AM
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Variable Selection and Shrinkage via a Conditional Likelihood-Based Penalty
Arpita Ghosh, National Cancer Institute; Fred Wright, The University of North Carolina at Chapel Hill; Andrew Nobel, The University of North Carolina at Chapel Hill; Fei Zou , The University of North Carolina at Chapel Hill
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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Rethinking our Statistics Courses: What to Let Go of in Order to Grow?
Deborah J. Rumsey, The Ohio State University; Allan Rossman, Cal Poly; Beth Chance, Cal Poly; Jessica Utts, University of California, Irvine
2:05 PM
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An Individual-Patient Meta-Analytic Mixed Model with Repeated Measures and Time-Dependent Covariates: An Application to Adverse Event Data
Sofia Paul, Novartis Pharmaceuticals Corporation; Stephanie Ann Kovalchik, University of California, Los Angeles; Jing Hu, Novartis Pharmaceuticals Corporation; Glen Laird, Novartis Pharmaceuticals Corporation
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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Hypothesis Testing of Treatment Policies in Two-Stage Randomization Designs
Xiang Guo, sanofi-aventis (China); Anastasios Tsiatis, North Carolina State University
2:30 PM
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Prediction via Sparse Kernel PCA
Tianxi Cai, Harvard School of Public Health
2:35 PM
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LNRE Methods in Estimating Impressions in Search Engine Results
Carrie Grimes, Google; Meeyoung Park, Google
2:35 PM
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Estimating Lifetime or Episode-of-Illness Costs Under Censoring
Anirban Basu, The University of Chicago; Willard G. Manning, The University of Chicago
3:05 PM
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Selection Biases in Repeated Measures Analysis of Treatment Effects for Recurrent Episodic Conditions
Richard J. Cook, University of Waterloo
3:20 PM
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Overcoming the Winner's Curse to Identify Biomarkers with Clinical Relevance in Drug Development
Lei Shen, Eli Lilly and Company; Haoda Fu, Eli Lilly and Company
3:20 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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The Diverse Role of the 'Nonclinical Statistician' in the New Drug Development Process
James Colaianne, Johnson & Johnson
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Identification of Neural Functional Connectivity Using a Sparse Generalized Volterra Model
Dong Song, University of Southern California; Theodore W. Berger, University of Southern California
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Statistical Literacy as a Separate Course from Introductory Statistics
Robert Adam Molnar, Bellarmine University
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A Second Course of Applied Statistics for Accredited Professional Schools
Amy Phelps, Duquesne University
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Application of Intersection-Union Tests for Identifying Metabolite Biomarkers for Diagnosis and Prognosis
Kyoungmi Kim, University of California, Davis; Stanislav O. Zakharkin, Cadbury North America
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Assessing Concurrent Effects of Substance Abuse Treatment Modalities Using Marginal Structural Models
Beth Ann Griffin, RAND Corporation; Rajeev Ramchand, RAND Corporation; Cha-Chi Fan, RAND Corporation; Daniel Almirall, University of Michigan; Daniel F. McCaffrey, RAND Corporation
8:35 AM
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Modeling and Clustering of Time-Course Data
Alejandro Murua, Université de Montréal
8:35 AM
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Reform and Renewal in the Introductory Statistics Courses
Ron Barnes, University of Houston-Downtown; Anna Simmons, University of Houston-Downtown; Nancy Leveill, University of Houston-Downtown
8:35 AM
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Some Thoughts on an Introductory Statistics Course
Andrew Neath, Southern Illinois University Edwardsville
8:50 AM
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Remarks on the Test of Multivariate Normality by Union Intersection Principle
Chun-Chao Wang, National Taipei University; Yi-Ting Hwang, National Taipei University
8:50 AM
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Extreme Eigenvalues and Sparse Eigenvectors for Large Covariance Matrices
Iain Johnstone, Stanford University
9:05 AM
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Framing Specific Hypotheses: What's the Alternative?
Daniel Theodore Kaplan, Macalester College
9:20 AM
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Improved Minimax Lower Bound for Sparse Approximation Sets
Kyoung Hee Kim, Yale University; Harrison Huibin Zhou, Yale University
9:20 AM
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A Second Course in Statistics: Linear Statistical Models
David Gurney, Southeastern Louisiana University
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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Identifying Temporal Pattern of Adverse Events in Drug-Eluting Stents Studies
Aijun Song, Boston Scientific Corporation; Huyuan Yang, Boston Scientific Corporation; Hsini Terry Liao, Boston Scientific Corporation; Jeff Hersh, Boston Scientific Corporation
9:55 AM
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Paleoclimatic Reconstruction of Annual Precipitation in the East, North, and Central Division of Midwest Region: A Bayesian Hierarchical Model for Sparse Spatial Data
Rajib Paul, Western Michigan University; Kwok Wai Lau, CSIRO; William R. VanHove, Western Michigan University
9:55 AM
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Meta-Analysis for Rare Adverse Event Data from Clinical Trials
Brenda Crowe, Eli Lilly and Company
10:35 AM
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The Efficacy of Intensive Statistical Programming Courses at the Undergraduate Level
Nicole Lyn Ifill, University of California, Santa Barbara; Dawn Holmes, University of California, Santa Barbara
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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Remarks on Robust Nonparametric Imputation
Philip E. Cheng, Academia Sinica
11:35 AM
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Writing to Learn in Upper-Level Applied Statistics Courses
Ananda A. Jayawardhana, Pittsburg State University
11:50 AM
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Using IV with Subjective Assumptions to Construct Treatment Effect Bounds on Continuous Outcomes in Observational Studies
Joseph W. Hogan, Brown University; Tao Liu, Brown University
2:05 PM
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Multiple Frame Sample Design and Estimation for the 2008 National Sample Survey of Registered Nurses - Theory, Implementation, and Assessment
Ralph DiGaetano, Westat; Jim Green, Westat; Jay Clark, Westat; Marshall Fritz, U.S. Department of Health and Human Services
2:05 PM
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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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Sample-Size Calculation for the Andersen-Gill Model in the Presence of Subject Heterogeneity in the Baseline Risk
Antje Jahn-Eimermacher, University of Mainz; Katharina Ingel, University of Mainz
2:20 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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Two-Sample Semiparametric Proportional (Reverse) Hazard Model
Zhong Guan, Indiana University South Bend; Cheng Peng, University of Southern Maine
2:35 PM
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Recent History Functional Linear Models for Sparse Longitudinal Data
Kion Kim, Penn State; Damla Senturk, Penn State
2:35 PM
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Student-Centered Instruction in a Theoretical Statistics Course
Samantha C. Bates Prins, James Madison University
3:05 PM
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Extension of Kaplan-Meier Methods in Longitudinal Observational Studies with Time-Varying Exposure
Stanley Xu, Kaiser Permanente Colorado; Susan Shetterly, Kaiser Permanente Colorado; David Powers, U.S. Census Bureau; Marsha Raebel, Kaiser Permanente Colorado; Michael Ho, Denver VA Medical Center; Thomas Tsai, Denver VA Medical Center; David Magid, Kaiser Permanente Colorado
3:05 PM
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Inferring Disease-Related Interaction Network
Qi Zhang, Fred Hutchinson Cancer Research Center; Pei Wang, Fred Hutchinson Cancer Research Center
3:20 PM
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Average Case Recovery of Multichannel Sparse Signals Under Noise
Xi Luo, University of Pennsylvania; Tony Cai, University of Pennsylvania
3:20 PM
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Wednesday, 08/04/2010
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Bayesian Methods in Genomics: Searching for Unity in Diverse Data Sources
Bhramar Mukherjee, University of Michigan; Debashis Ghosh, Pennsylvania State University
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Block-Regulized Regression for Identifying CNV in Gene Expression Data
Yanming Li, University of Michigan
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Using Wikis and Social Media in Teaching Statistics
William Peterson, Middlebury College
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Getting Rid of Excess Baggage in Introductory Statistics
Ron Barnes, University of Houston-Downtown
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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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The STAT-ATTIC Website: A Database of Statistics Applets for Teaching Topics in Introductory Courses
Concetta Anne DePaolo, Indiana State University
9:05 AM
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The Reliability of Signal Analysis in the Adverse Events Setting of Priorities
Qian Graves, FDA/CFSAN; Peng T. Liu, FDA; Stuart Chirtel, FDA/CFSAN; Curtis Barton, FDA/CFSAN; Debra Street, FDA/CFSAN
9:20 AM
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Census-Coverage Studies in Canada: A History with Emphasis on the 2011 Census
David Dolson, Statistics Canada
9:25 AM
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A Comprehensive Probability Project for the Upper-Division One-Semester Probability Course Using Yahtzee
Jason Wilson, Biola University
9:35 AM
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FUNER: A Spatio-Temporal Penalization Approach for the MEG Inverse Problem
T. Siva Tian, University of Houston; Zhimin Li, The University of Texas Health Science Center at Houston
9:50 AM
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A Finite Sample Study of a New Adaptive Nonparametric Method for Quantal Bioassay in Diverse Models
Lizhen Lin, The University of Arizona; Rabi Bhattacharya, The University of Arizona
10:35 AM
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Intersecting Variance Function Regression and Hierarchical Age-Period-Cohort Analysis, with Applications to the Study of Self-Reported Health
Kenneth C. Land, Duke University; Hui Zheng, Duke University
10:35 AM
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Statistical Power for Genome-Wide Association Analysis of Case-Control Studies on Rare Serious Adverse Drug Reactions
Wencan Zhang, Takeda Global Research & Development Center, Inc.; Tatsuya Ando, Takeda Pharmaceutical Company Limited; Robert Dillard, Takeda Global Research & Development Center, Inc.; Leonardo Sahelijo, Takeda Global Research & Development Center, Inc.; Shyh-yuh Liou, Takeda Pharmaceutical Company Limited; Hiroyoshi Toyoshiba, Takeda Pharmaceutical Company Limited
10:50 AM
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Statistical Inference in Factor Analysis for High-Dimension, Low-Sample-Size Data
Miguel Marino, Harvard University/Dana-Farber Cancer Institute; Yi Li, Harvard University/Dana-Farber Cancer Institute
10:50 AM
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Variable Selection for Gene Expression Data via Hilbert-Schmidt Independence Criterion
Ali Ghodsi, University of Waterloo
10:50 AM
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The Hidden Attitude: Students' Perceptions of 'Statistics' Prior to Taking the First Course
Marjorie E. Bond, Monmouth College; Gloria Lehr, Monmouth College
10:55 AM
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Sparse Data in Meta-Analysis: Parametric and Semiparametric Models and Parameterization Issues
Arpita Chatterjee, Northern Illinois University; Sanjib Basu, Northern Illinois University
11:15 AM
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Emerging Research Challenges in Cyber Security
Deborah Frincke, Pacific Northwest National Laboratory
11:50 AM
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Reduced-Rank Stochastic Regression with a Sparse Singular-Value-Decomposition: Modeling Larval Drift Effects on Cod Population Dynamics as a Case Study
Kun Chen, The University of Iowa; Kung-Sik Chan, The University of Iowa; Nils Christian Stenseth, Centre for Ecological and Evolutionary Synthesis
11:50 AM
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Teaching Statistics in Master of Public Health Programs: The Opportunities and Challenges of an Online Format
Suhwon Lee, University of Missouri
12:05 PM
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Multiscale Factor Models for Molecular Networks
Justin Guinney, Sage Bionetworks
2:45 PM
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Semiparametric Model Pursuit
Jian Huang, The University of Iowa
2:55 PM
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CUSUMs for Survival Outcomes with Dependent Censoring: Application to Monitoring Waitlist Mortality in Liver Transplant Programs
Jie (Rena) Sun, University of Michigan; John David Kalbfleisch, University of Michigan; Douglas E. Schaubel, University of Michigan
3:05 PM
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Thursday, 08/05/2010
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Joint Modeling of Paired Sparse Functional Data Using Principal Components
Lan Zhou, Texas A&M University; Jianhua Huang, Texas A&M University; Raymond Carroll, Texas A&M University
8:35 AM
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Application of Sparse PCA via Regularized SVD to Neuroimaging Data
Bedda L. Rosario, University of Pittsburgh; Lisa A. Weissfeld, University of Pittsburgh; Julie C. Price, University of Pittsburgh
8:50 AM
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A Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis
Daniela Witten, Stanford University; Rob Tibshirani, Stanford University; Trevor Hastie, Stanford University
9:25 AM
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An Introduction to Presampling Inference II
Stephen Woodruff, Specified Designs
9:50 AM
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A Moderated Lawley-Hotelling--Type Trace Test for High-Dimensional Longitudinal Data: Its Application in Detecting Temporal Patterns in Time Course Microarray Data
Jemila Seid Hamid, Dalla Lana School of Public Health; Joseph Beyene, Macmaster University; Dietrich von Rosen, Swedish University of Agricultural Sciences
9:50 AM
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Bayesian Joint Modeling of Multiple Gene Networks and Diverse Genomic Data to Identify Target Genes of a Transcription Factor
Peng Wei, The University of Texas School of Public Health; Wei Pan, University of Minnesota
9:55 AM
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GAISE Into Online Discussions
Michelle Everson, University of Minnesota
10:35 AM
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Inverse Probability Weighting for Clustered Nonresponse
Chris Skinner, University of Southampton
10:35 AM
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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
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Bayesian Hierarchical Models for Detecting Safety Signals in Clinical Trials
Haijun Ma, Amgen Inc.; Amy Xia, Amgen Inc.; Bradley P. Carlin, University of Minnesota
10:35 AM
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Evaluating Rare Variants in Genomewide Studies
John S. Witte, University of California, San Francisco
11:00 AM
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Estimating Odds Ratio for Logistic Regression in Multicenter Trials When Data Are Sparse
Xiaomin He, ICON Clinical Research
11:05 AM
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Guiding Student Project Workflow Using Reproducible Statistical Analysis Tools
Nicholas Jon Horton, Smith College
11:25 AM
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Optimal Sparse Segment Identification with Application in Copy Number Variation Analysis
Jessie Jeng, University of Pennsylvania; Tony Cai, University of Pennsylvania; Hongzhe Li, University of Pennsylvania
11:55 AM
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A Method to Analyze Area Under the Curves on Sparse Sampling
Huajiang Li, Allergan Pharmaceuticals, Inc.
12:05 PM
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