Online Program
Keynote Address |
Concurrent Sessions |
Poster Sessions |
Short Courses |
Tutorials |
Practical Computing Expos |
Closing Session: Feedback Panel
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Viewing Concurrent Sessions only — View Full Program |
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| Friday, February 22 | ||
| CS01 Theme 1: Communication, Impact and Career Development #1 |
Fri, Feb 22, 9:00 AM - 10:30 AM
Napoleon D3 |
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| Chair(s): Sylvia Dohrmann, Westat | ||
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Becoming a Manager of Statisticians
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John Johnson, REGISTRAT-MAPI
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Influence - Essential for Success as a Statistician
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Paul Berg, Eli Lilly and Company
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| CS02 Theme 2: Data Modeling and Analysis #1 |
Fri, Feb 22, 9:00 AM - 10:30 AM
Napoleon A1-3 |
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| Chair(s): Jim Rutherford, Chevron | ||
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Survival Analysis of Longitudinal Event History Data from Complex Samples
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Steven G Heeringa, University of Michigan Institute for Social Research
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Multigraph Representation of Loglinear Models
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Harry J. Khamis, Statistical Consulting Center, Wright State University
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| CS03 Theme 3: Prediction and Analytics #1 |
Fri, Feb 22, 9:00 AM - 10:30 AM
Napoleon D1&2 |
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| Chair(s): Dominique Haughton, Bentley University and Universite Toulouse I | ||
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Risk Intelligent Modeling: Avoiding Common Pitfalls of Black Box Analytics
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Robert J Torongo, Deloitte & Touche LLP
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Data Analytics Algorithms Introductory Overview
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Rodney Tjoelker, Boeing
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| CS04 Theme 1: Communication, Impact and Career Development #2 |
Fri, Feb 22, 10:45 AM - 12:15 PM
Napoleon D3 |
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| Chair(s): Keith Schleicher, Cognilytics, Inc. | ||
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How to Explain Common Statistical Misconceptions to Non-Statisticians
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Jim Colton, Minitab Inc.
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Effective Communication of Statistical Results
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Heather Krause, Datassist Consulting
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| CS05 Theme 2: Data Modeling and Analysis #2 |
Fri, Feb 22, 10:45 AM - 12:15 PM
Napoleon A1-3 |
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| Chair(s): MoonJung Cho, US Bureau of Labor Statistics | ||
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Multiple Imputation: An Introduction and Applications
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Nathaniel Schenker, National Center for Health Statistics
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Dealing With Missing Data; From Small to Large Scale
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Andrew F. Grannell, Statistical Solutions
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| CS06 Theme 3: Prediction and Analytics #2 |
Fri, Feb 22, 10:45 AM - 12:15 PM
Napoleon D1&2 |
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| Chair(s): Dennis Kunimura, g4b Analytics LLC | ||
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Supporting Healthcare Policy Initiatives through Modeling Efforts: Issues of Data Capacity and Statistical Quality
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Steven B Cohen, Agency for Healthcare Research and Quality
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Average Versus Local Effects
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S. Stanley Young, NISS
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| CS07 Theme 1: Communication, Impact and Career Development #3 |
Fri, Feb 22, 1:30 PM - 3:00 PM
Napoleon D3 |
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| Chair(s): Christopher Malone, Winona State University | ||
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Teaching Communication in Statistical Collaborations
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Eric Vance, Laboratory for Interdisciplinary Statistical Analysis & Virginia Tech
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| CS08 Theme 2: Data Modeling and Analysis #3 |
Fri, Feb 22, 1:30 PM - 3:00 PM
Napoleon A1-3 |
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| Chair(s): Jim Rutherford, Chevron | ||
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Bridging the Gap between Ideal and Practical Conditions in the Application of Statistical Methods
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Gretchen Falk, Ernst & Young
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Resampling: No Assumptions Needed!
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Dennis L Eggett, Brigham Young University - Department of Statistics
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| CS09 Theme 4: Software and Graphics #1 |
Fri, Feb 22, 1:30 PM - 3:00 PM
Napoleon D1&2 |
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| Chair(s): David Schlotzhauer, SAS Institute Inc. | ||
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Statistics and Graphics for Analysis and Insight
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David A. Dickey, North Carolina State University
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| CS10 Theme 1: Communication, Impact and Career Development #4 |
Fri, Feb 22, 3:15 PM - 4:45 PM
Napoleon D3 |
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| Chair(s): LeAnna G. Stork, Monsanto Co. | ||
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Gone in 60 Minutes: 5 Suggestions for Keeping Clients and Creating Partnerships
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Todd Coffey, Seattle Genetics, Inc.
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The Face of the Statistical Consultant
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Phil Scinto, The Lubrizol Corporation
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| CS11 Theme 2: Data Modeling and Analysis #4 |
Fri, Feb 22, 3:15 PM - 4:45 PM
Napoleon A1-3 |
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| Chair(s): MoonJung Cho, US Bureau of Labor Statistics | ||
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Releasing Statistical Information while Protecting the Underlying Individual Data
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Paul B Massell, U.S. Census Bureau
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Uncovering the Truths Behind Internet Domain Registrations
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Edward J Mulrow, NORC at the University of Chicago
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| CS12 Theme 4: Software and Graphics #2 |
Fri, Feb 22, 3:15 PM - 4:45 PM
Napoleon D1&2 |
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| Chair(s): David Schlotzhauer, SAS Institute Inc. | ||
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Generalized Linear Mixed Model Based Power and Precision Analysis as a Tool for Planning Research Designs
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Walt Stroup, University of Nebraska, Lincoln
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Do Your Graphs Speak Clearly?
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Sanjay Matange, SAS Institute
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| Saturday, February 23 | ||
| CS13 Theme 2: Data Modeling and Analysis #5 |
Sat, Feb 23, 9:00 AM - 10:30 AM
Napoleon A1&2 |
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| Chair(s): Wenjin Wang, Pfizer | ||
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Confounders, Mediators, Moderators & Suppressors: Identifying and Testing for Different Types of Covariates
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Julia E Seaman, UCSF
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Mixed Models for Business Decision Making
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Sam Weerahandi, Pfizer
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| CS14 Theme 3: Prediction and Analytics #3 |
Sat, Feb 23, 9:00 AM - 10:30 AM
Napoleon D3 |
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| Chair(s): Dennis Kunimura, g4b Analytics LLC | ||
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Tales from the Trenches
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Dennis Kunimura, g4b Analytics LLC
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Transforming The Corporation To Fully Leverage Business Analytics
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Randy John Bartlett, Blue Sigma Analytics
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| CS15 Theme 4: Software and Graphics #3 |
Sat, Feb 23, 9:00 AM - 10:30 AM
Napoleon D1&2 |
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| Chair(s): Aric LaBarr, North Carolina State University | ||
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Creating Data Visualizations with SAS® and the Processing Graphics Language
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Patrick Hall, SAS Institute
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Productizing Your Statistical Analysis
Michael Kane, Yale University |
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| CS16 Theme 2: Data Modeling and Analysis #6 |
Sat, Feb 23, 10:45 AM - 12:15 PM
Napoleon A1&2 |
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| Chair(s): Wenjin Wang, Pfizer | ||
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Estimation of Individual Treatment Effects
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Craig Anthony Rolling, University of Minnesota
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Meta-analysis with Proportion Data
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Meng-Jia Wu, Loyola University Chicago
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| CS17 Theme 3: Prediction and Analytics #4 |
Sat, Feb 23, 10:45 AM - 12:15 PM
Napoleon D3 |
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| Chair(s): Dennis Kunimura, g4b Analytics LLC | ||
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The Effectiveness of Display Ads
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Tim C Hesterberg, Google
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A Novel Approach for Improving Predictive Accuracy of Prognostic Models for Violent Reoffending
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Constantinos Kallis, Queen Mary, University of London
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| CS18 Theme 4: Software and Graphics #4 |
Sat, Feb 23, 10:45 AM - 12:15 PM
Napoleon D1&2 |
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| Chair(s): David Schlotzhauer, SAS Institute Inc. | ||
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Under the Hood with Exploratory Factor Analysis: What is Rotation, Really?
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Jason W. Osborne, Old Dominion University
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Enhanced Tipping-Point Displays
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Victoria Liublinska, Statistics Department, Harvard University
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