Online Program

Keynote Address | Concurrent Sessions | Poster Sessions | Short Courses | Tutorials | Practical Computing Expos | Closing Session: Feedback Panel

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Thursday, February 21
Registration Thu, Feb 21, 7:00 AM - 7:00 PM
Napoleon Registration, 3rd Floor

 
SC1 Management Fundamentals Thu, Feb 21, 8:00 AM - 5:00 PM
Napoleon A2
Instructor(s): Bill Williams, Organizational Learning Consultant

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This full-day course addresses skill areas critical to effective people management, including material for managers who might describe themselves as introverts, and the following: understanding the role of a “people manager;” forming effective relationships with people reporting directly to you; setting and communicating expectations; providing effective feedback; and, coaching for performance and development.

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SC2 A Corporate Perspective: Financial Savvy for Statisticians Thu, Feb 21, 8:00 AM - 5:00 PM
Napoleon A1
Instructor(s): Donna M. Faltin, The Faltin Group; Frederick W. Faltin, The Faltin Group

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This course discusses the role of corporate finance, the financial issues that drive decision making and market perceptions, and key topics needed for an understanding of corporate financial management. Along the way, we acquaint attendees with the language of financial management, with the broader aim of helping them to better integrate into the corporate mainstream and to enhance their ability to contribute to, and prosper within, their respective organizations. We’ll conclude with a discussion of “current events”: the Great Recession and the European debt crisis. Attendees will receive course notebooks with presentation contents; no specific software is required, although there will be illustrations using Microsoft Excel.

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SC3 Seven Techniques to Maximize Speech Clarity if English is Your Second Language Thu, Feb 21, 8:00 AM - 5:00 PM
Napoleon D2
Instructor(s): William A. Vance, Yale University and Executive Voice, LLC
A strong accent influences how colleagues perceive your contributions. If your ideas are delivered with fast speed, poor articulation, or choppy delivery, you may be sabotaging your impact on project teams. And worse, colleagues need to expend extra effort to interpret your message. Yet these barriers to understanding can be removed. In this systematic workshop, you will learn how to increase the clarity of every word and sentence you speak. We will develop seven techniques for reducing your accent, including controlling speech speed, highlighting ideas, making words clear, strengthening vowel and consonant sounds, improving grammatical accuracy, and building fluency. Special attention will be given to the technical vocabulary of statistics. The workshop is fast-paced and interactive, with opportunities for immediate personal application of new skills. We will use specialized tools, such as speech analysis software, to provide a metrics-based gauge of your improvement in the session.

The workshop includes a required pre-evaluation of your oral communication skills, which is completed in advance of the conference. Participants give spoken responses for 30 minutes in an on-line interface, where they perform a series of job-related communications tasks. Their responses will be scientifically analyzed, and each participant receives a 25-page personal analysis report (with metrics on intelligibility). The report will alert the participants to their development needs in accent and communication, and it will give them extensive guidance in how to continue the process of skill-building after the workshop. The workshop content may be adjusted to meet the aggregate group needs that are revealed by the pre-assessment.

The workshop uses a methodology that will benefit professionals of any language background and proficiency level. While some changes to accent and speaking style can be made in one day, participants should expect to devote time to daily exercises in the weeks after the conference, to reinforce the habits of clear speech.

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SC4 Effective Presentations for Statisticians Thu, Feb 21, 8:00 AM - 12:00 PM
Napoleon D3
Instructor(s): Jeanine Buchanich, University of Pittsburgh; Bob Starbuck, Wyeth (retired)

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This course covers the basics of presentation skills for statisticians. It is under development under ASA President Bob Rodriguez's Career Success Factors Workgroup. Topics include: Slide Preparation, Crafting Your Argument, Proofreading, Timing, Practice, etc. Jeanine is the primary developer and she has given an extended version of this course to statisticians at the University of Pittsburgh School of Public Health.

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SC5 Tree Modeling Thu, Feb 21, 8:00 AM - 12:00 PM
Napoleon A3
Instructor(s): Chris Peterson, Capital One

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The explosion of data availability coupled with continual increases in computational power make this an exciting time to be an analyst! Decision Tree based methodologies have proven their value in wading through large quantities of data to generate meaningful insight across many industries and should be in every analyst's toolkit. This course will provide an introduction to several data mining/machine learning algorithms based on Decision Trees with an emphasis on application, interpretation, and common pitfalls. Specifically, the course will introduce the student to the CART, Stochastic Gradient Boosting and Random Forest algorithms by providing a description of the analytic approach, an overview of potential applications, and a survey of software implementation.

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SC6 Survey Sampling: Design, Weighting, and Analysis Thu, Feb 21, 1:00 PM - 5:00 PM
Napoleon D3
Instructor(s): David Morganstein, Westat

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The course will review and compare tools used by the sample designer to produce an efficient and cost effective design: stratification, clustering and weighting. Three approaches, design based, model based and model assisted will be compared. Attendees will learn about steps in the survey weighting process: base weight, adjustments for ineligibility, adjustments for non-response and benchmarking to externally obtained control totals. The purpose and impact of each of these steps will be discussed. Estimates of population characteristics are generally accompanied by estimates of their sampling error and the course will describe the most common approaches for creating sampling error estimates: exact methods, linearization and replication. Of great importance, survey estimates, including models and model parameters, require specialized formulas and software for descriptive and analytic results. The course will discuss the impact of the sample design and weight adjustment process on the survey estimates and model parameters. The course will be of interest to anyone using survey data, whether they have a role in planning the design, analyzing the data or both.

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SC7 A Crash R Course on Statistical Graphics Thu, Feb 21, 1:00 PM - 5:00 PM
Napoleon A3
Instructor(s): Isabella Rodica Ghement, Ghement Statistical Consulting Company Ltd.

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This half-day course is a must for anyone who wishes to learn how to use the powerful open source statistical software package R to produce publication-quality graphics. After providing the participants with an overview of R and its data import capabilities, the course will introduce the participants to two of the graphical systems available in R: the base graphics and the lattice graphics. The base graphics is suitable for producing standard statistical plots such as bar plots, histograms, boxplots, scatterplots and time series plots. The lattice graphics is an extension of the base graphics, which relies on canned formulas to produce multi-panel and 3-D displays of data. Participants will learn through a variety of demos and exercises how to use each of these two R graphical systems to create and customize publication-quality graphics, ranging from simple univariate graphics to complex hypervariate graphics. Participants will also learn how to use scripts to store R commands for data visualization and how to save R graphical output for further reporting. To get the most out of this course, participants will need to bring their laptops to the course, preinstalled with R. No previous knowledge of R is required.

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Exhibits Thu, Feb 21, 6:30 PM - 8:00 PM
Napoleon Ballroom
Exhibitors

 
PS1 Poster Session 1 & Opening Mixer Thu, Feb 21, 6:30 PM - 8:00 PM
Napoleon Ballroom
Chair(s): MoonJung Cho, US Bureau of Labor Statistics

Using a simulated population to evaluate survey design and analysis: a case study with Great Lakes fish (updated)
View Presentation View Presentation Jean V. Adams, U.S. Geological Survey - Great Lakes Science Center
Can Survey Response Propensities Grow on Trees? Comparing the Validity of Random Forests and Logistic Regression Models Using Population Variables Appended to an ABS Sampling Frame
Trent D Buskirk, The Nielsen Company
Optimal Longitudinal Data Utilization in a Seamless Adaptive (SA) Phase II/III Clinical Trial – Use of the conditional test statistic to identify patient allocation ratio at each trial phase
View Presentation View Presentation Caitlyn Nicole Ellerbe, Medical University of South Carolina
Statistical Methods Used in Clinical Trials to Identify Biomarkers That Can Help Fight Cardiovascular Disease
View Presentation View Presentation Weihang Bao, Pfizer, Inc.
Changes in patients with asthma in CT imaging using with temporal and spatial correlation
Hyun J Kim, UCLA
Network analyses of prescription switching among bisphosphonates
View Presentation View Presentation Hsin-Fang Li, Doctoral candidate in biostatistics, College of Public Health, University of Kentucky
Is there an Overuse of Computed Tomography (CT) Scanning of Patients in US Hospitals? A Review of the Evidence
View Presentation View Presentation Fotios Kokkotos, Trinity Partners
Scaling Up Evaluation: Survey Scale Analysis in Education
View Presentation View Presentation Gina Gabriele Romano-Mosier, Center of Excellence in Leadership of Learning-University of Indianapolis
Leveraging Capacity Building at a Research Institute to Further Develop a Biostatistics Course at a Local University
View Presentation View Presentation Greg Fegan, KEMRI-Wellcome Trust Research Programme & University of Oxford
Explaining Small Area Estimation Methodology to Non-Statistician End Users
View Presentation View Presentation Lucinda Dalzell, U.S. Census Bureau
Inverse Prediction: Application to Infectious diseases and Clinical Microbiology
View Presentation View Presentation Jayawant Narayan Mandrekar, Mayo Clinic
Beyond Consulting: Training to Become an Interdisciplinary Statistical Collaborator
Marcos Carzolio, Virginia Tech
 
Friday, February 22
Registration Fri, Feb 22, 7:00 AM - 5:00 PM
Napoleon Registration, 3rd Floor

 
Continental Breakfast Fri, Feb 22, 7:30 AM - 9:00 AM
Napoleon Ballroom

 
GS1 Keynote Presentation Fri, Feb 22, 7:30 AM - 9:00 AM
Napoleon A1-3

Some Thoughts on How to be More Successful
View Presentation View Presentation Bob Starbuck, Wyeth (retired)
 
Exhibits Fri, Feb 22, 7:30 AM - 6:15 PM
Napoleon Ballroom
Exhibitors

 
CS01 Theme 1: Communication, Impact and Career Development #1 Fri, Feb 22, 9:00 AM - 10:30 AM
Napoleon D3
Chair(s): Sylvia Dohrmann, Westat

Becoming a Manager of Statisticians
View Presentation View Presentation John Johnson, REGISTRAT-MAPI
Influence - Essential for Success as a Statistician
View Presentation View Presentation Paul Berg, Eli Lilly and Company
 
CS02 Theme 2: Data Modeling and Analysis #1 Fri, Feb 22, 9:00 AM - 10:30 AM
Napoleon A1-3
Chair(s): Jim Rutherford, Chevron

Survival Analysis of Longitudinal Event History Data from Complex Samples
View Presentation View Presentation Steven G Heeringa, University of Michigan Institute for Social Research
Multigraph Representation of Loglinear Models
View Presentation View Presentation Harry J. Khamis, Statistical Consulting Center, Wright State University
 
CS03 Theme 3: Prediction and Analytics #1 Fri, Feb 22, 9:00 AM - 10:30 AM
Napoleon D1&2
Chair(s): Dominique Haughton, Bentley University and Universite Toulouse I

Risk Intelligent Modeling: Avoiding Common Pitfalls of Black Box Analytics
View Presentation View Presentation Robert J Torongo, Deloitte & Touche LLP
Data Analytics Algorithms Introductory Overview
View Presentation View Presentation Rodney Tjoelker, Boeing
 
CS04 Theme 1: Communication, Impact and Career Development #2 Fri, Feb 22, 10:45 AM - 12:15 PM
Napoleon D3
Chair(s): Keith Schleicher, Cognilytics, Inc.

How to Explain Common Statistical Misconceptions to Non-Statisticians
View Presentation View Presentation Jim Colton, Minitab Inc.
Effective Communication of Statistical Results
View Presentation View Presentation Heather Krause, Datassist Consulting
 
CS05 Theme 2: Data Modeling and Analysis #2 Fri, Feb 22, 10:45 AM - 12:15 PM
Napoleon A1-3
Chair(s): MoonJung Cho, US Bureau of Labor Statistics

Multiple Imputation: An Introduction and Applications
View Presentation View Presentation Nathaniel Schenker, National Center for Health Statistics
Dealing With Missing Data; From Small to Large Scale
View Presentation View Presentation Andrew F. Grannell, Statistical Solutions
 
CS06 Theme 3: Prediction and Analytics #2 Fri, Feb 22, 10:45 AM - 12:15 PM
Napoleon D1&2
Chair(s): Dennis Kunimura, g4b Analytics LLC

Supporting Healthcare Policy Initiatives through Modeling Efforts: Issues of Data Capacity and Statistical Quality
View Presentation View Presentation Steven B Cohen, Agency for Healthcare Research and Quality
Average Versus Local Effects
View Presentation View Presentation S. Stanley Young, NISS
 
CS07 Theme 1: Communication, Impact and Career Development #3 Fri, Feb 22, 1:30 PM - 3:00 PM
Napoleon D3
Chair(s): Christopher Malone, Winona State University

Teaching Communication in Statistical Collaborations
View Presentation View Presentation Eric Vance, Laboratory for Interdisciplinary Statistical Analysis & Virginia Tech
 
CS08 Theme 2: Data Modeling and Analysis #3 Fri, Feb 22, 1:30 PM - 3:00 PM
Napoleon A1-3
Chair(s): Jim Rutherford, Chevron

Bridging the Gap between Ideal and Practical Conditions in the Application of Statistical Methods
View Presentation View Presentation Gretchen Falk, Ernst & Young
Resampling: No Assumptions Needed!
View Presentation View Presentation Dennis L Eggett, Brigham Young University - Department of Statistics
 
CS09 Theme 4: Software and Graphics #1 Fri, Feb 22, 1:30 PM - 3:00 PM
Napoleon D1&2
Chair(s): David Schlotzhauer, SAS Institute Inc.

Statistics and Graphics for Analysis and Insight
View Presentation View Presentation David A. Dickey, North Carolina State University
 
CS10 Theme 1: Communication, Impact and Career Development #4 Fri, Feb 22, 3:15 PM - 4:45 PM
Napoleon D3
Chair(s): LeAnna G. Stork, Monsanto Co.

Gone in 60 Minutes: 5 Suggestions for Keeping Clients and Creating Partnerships
View Presentation View Presentation Todd Coffey, Seattle Genetics, Inc.
The Face of the Statistical Consultant
View Presentation View Presentation Phil Scinto, The Lubrizol Corporation
 
CS11 Theme 2: Data Modeling and Analysis #4 Fri, Feb 22, 3:15 PM - 4:45 PM
Napoleon A1-3
Chair(s): MoonJung Cho, US Bureau of Labor Statistics

Releasing Statistical Information while Protecting the Underlying Individual Data
View Presentation View Presentation Paul B Massell, U.S. Census Bureau
Uncovering the Truths Behind Internet Domain Registrations
View Presentation View Presentation Edward J Mulrow, NORC at the University of Chicago
 
CS12 Theme 4: Software and Graphics #2 Fri, Feb 22, 3:15 PM - 4:45 PM
Napoleon D1&2
Chair(s): David Schlotzhauer, SAS Institute Inc.

Generalized Linear Mixed Model Based Power and Precision Analysis as a Tool for Planning Research Designs
View Presentation View Presentation Walt Stroup, University of Nebraska, Lincoln
Do Your Graphs Speak Clearly?
View Presentation View Presentation Sanjay Matange, SAS Institute
 
PS2 Poster Session 2 (with refreshments) Fri, Feb 22, 4:45 PM - 6:15 PM
Napoleon Ballroom
Chair(s): Jim Rutherford, Chevron

An evaluation of programs in statistical software packages for fitting hierarchical multilevel logistic regression models
View Presentation View Presentation Lei Li, RTI International
Applied Experimental Design & Statistical Analysis In a Real-World National Intervention In Community Colleges*
View Presentation View Presentation Howard Iver Thorsheim, St. Olaf College
Optimization of the Media Mix in the Healthcare Industry
View Presentation View Presentation Dominique Haughton, Bentley University and Universite Toulouse I
A Measurement Error Model for Physical Activity Data
View Presentation View Presentation Bryan Stanfill, Center for survey statistics and methodology
Interactive Modules as a Tool to Illustrate Statistical Concepts
View Presentation View Presentation Ryan Scott Warnick, Baylor University
Modelling Seasonality in Innovation Diffusion
View Presentation View Presentation Mariangela Guidolin, Department of Statistical Sciences, University of Padova, Italy
Performance Testing of the Firefox Web Browser
Christina Choi, Mozilla
Development of a Biostatistics Business Model in Nursing
View Presentation View Presentation Alexandra L Hanlon, Univeristy of Pennsylvania
Facilitating Survey Design Decisions by Incorporating an R Package
View Presentation View Presentation Lauren Brooke Hund, Harvard School of Public Health
Estimating the Correlation Coefficient with Censored Data
Yanming Li, University of Michigan
The Challenges of Remote Statistical Consulting
View Presentation View Presentation Ryan Petska, Ernst & Young LLP
Combining Surveys with Overlapping Latent Structures
View Presentation View Presentation Amanda M Dawson, Select Medical
 
Saturday, February 23
Registration Sat, Feb 23, 7:00 AM - 1:30 PM
Napoleon Registration, 3rd Floor

 
PS3 Poster Session 3 & Continental Breakfast Sat, Feb 23, 7:30 AM - 9:00 AM
Napoleon Ballroom
Chair(s): LeAnna G. Stork, Monsanto Co.

Two Matrix Factorization Widgets for Orange Data Mining
S. Stanley Young, NISS
Turning Customer Satisfaction Survey Statistics into Decisions
View Presentation View Presentation Michael Latta, YTMBA Research-Coastal Carolina University
Imputing Endpoints after Collapsing Longitudinal Data Across Related Events
James Joseph, INC Research
Markov Tree Options Pricing: Theory and Empirical Evidence
Nitesh Kumar, University of California, Merced
Joint Probability of Extreme Wave and Water Level Climate for Coastal Risk Analysis
Norberto Carlos Nadal-Caraballo, U.S. Army Corps of Engineers
Intake Monitoring, Assessment and Planning Program (IMAPP) Overview
View Presentation View Presentation Dave Osthus, Center for survey statistics and methodology
Data Merge and Modification: Lessons Learned
View Presentation View Presentation Patricia Rodriguez de Gil, University of South Florida
Modifying the Undergraduate Statistics Curriculum to Properly Train Future Data Scientists
Christopher Malone, Winona State University
How to use Propensity Scores to Strengthen Estimates of Treatment Effects: A Guided Tour of the Propensity Score Landscape for Real-world Analysts
View Presentation View Presentation Tyler Hicks, University of South Florida
Stats For Rats: Educating the Laboratory Scientist on Statistical Methods other than the T-test
View Presentation View Presentation traci leong, Emory University School of Public Health
Reducing Student Dining Room Food Waste Through Six Sigma
View Presentation View Presentation Diane Evans, Rose-Hulman Institute of Technology; Neel Iyer, Rose-Hulman Institute of Technology
 
Exhibits Sat, Feb 23, 7:30 AM - 1:30 PM
Napoleon Ballroom
Exhibitors

 
CS13 Theme 2: Data Modeling and Analysis #5 Sat, Feb 23, 9:00 AM - 10:30 AM
Napoleon A1&2
Chair(s): Wenjin Wang, Pfizer

Confounders, Mediators, Moderators & Suppressors: Identifying and Testing for Different Types of Covariates
View Presentation View Presentation Julia E Seaman, UCSF
Mixed Models for Business Decision Making
View Presentation View Presentation Sam Weerahandi, Pfizer
 
CS14 Theme 3: Prediction and Analytics #3 Sat, Feb 23, 9:00 AM - 10:30 AM
Napoleon D3
Chair(s): Dennis Kunimura, g4b Analytics LLC

Tales from the Trenches
View Presentation View Presentation Dennis Kunimura, g4b Analytics LLC
Transforming The Corporation To Fully Leverage Business Analytics
View Presentation View Presentation Randy John Bartlett, Blue Sigma Analytics
 
CS15 Theme 4: Software and Graphics #3 Sat, Feb 23, 9:00 AM - 10:30 AM
Napoleon D1&2
Chair(s): Aric LaBarr, North Carolina State University

Creating Data Visualizations with SAS® and the Processing Graphics Language
View Presentation View Presentation Patrick Hall, SAS Institute
Productizing Your Statistical Analysis
Michael Kane, Yale University
 
CS16 Theme 2: Data Modeling and Analysis #6 Sat, Feb 23, 10:45 AM - 12:15 PM
Napoleon A1&2
Chair(s): Wenjin Wang, Pfizer

Estimation of Individual Treatment Effects
View Presentation View Presentation Craig Anthony Rolling, University of Minnesota
Meta-analysis with Proportion Data
View Presentation View Presentation Meng-Jia Wu, Loyola University Chicago
 
CS17 Theme 3: Prediction and Analytics #4 Sat, Feb 23, 10:45 AM - 12:15 PM
Napoleon D3
Chair(s): Dennis Kunimura, g4b Analytics LLC

The Effectiveness of Display Ads
View Presentation View Presentation Tim C Hesterberg, Google
A Novel Approach for Improving Predictive Accuracy of Prognostic Models for Violent Reoffending
View Presentation View Presentation Constantinos Kallis, Queen Mary, University of London
 
CS18 Theme 4: Software and Graphics #4 Sat, Feb 23, 10:45 AM - 12:15 PM
Napoleon D1&2
Chair(s): David Schlotzhauer, SAS Institute Inc.

Under the Hood with Exploratory Factor Analysis: What is Rotation, Really?
View Presentation View Presentation Jason W. Osborne, Old Dominion University
Enhanced Tipping-Point Displays
View Presentation View Presentation Victoria Liublinska, Statistics Department, Harvard University
 
T1 Leading Effective Meetings Sat, Feb 23, 1:30 PM - 3:30 PM
Napoleon D2
Instructor(s): Bill Williams, Organizational Learning Consultant
Meetings that are poorly planned and run can be a frustrating waste of time. Following a few basic practices for planning and conducting meetings can avert a lot of grief. Learn how to be an effective meeting leader in this highly interactive session that promises to be more enlightening than most of the meetings you attend.

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About the Instructor
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T2 Big Data – How to Find a Diamond in the Rough: A Step-by-Step Guide of Data Mining Sat, Feb 23, 1:30 PM - 3:30 PM
Borgne
Instructor(s): John Lin, Aspen Marketing Services, A division of Epsilon; Qizhi Wei, Aspen Marketing Services, A division of Epsilon

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This tutorial presents an award winning data mining approach that addresses the “Big Data” challenge. It will provide applied statisticians a comprehensive guide to develop analytic solutions to generate valuable insights from the massive data we collect today. We will cover common data mining techniques: sampling, variable creation and reduction methods, model development process, model diagnoses and validation, scoring and implementation, and backend analysis and measurement. Attendees will gain: • how to process and use big data • best practices on handling missing data • common data mining techniques • using predictive modeling and data mining to find insights • determining prediction reliability We will go through real industry case studies to illustrate how we apply various data mining techniques to solve our clients’ business issues.

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About the Instructors
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T3 Equivalence Testing Basics Sat, Feb 23, 1:30 PM - 3:30 PM
Napoleon A3
Instructor(s): Melissa Ziegler, DuPont

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In many cases statisticians are trying to differentiate offerings. But what if you need to show that two offerings are the same? This could include that a generic drug is the same as the brand name, that two labs are equivalent, or that a product produced in a new facility is the same as a product produced in an old facility. The statistical technique appropriate in this context is equivalence testing. This tutorial will provide a basic understanding of the purpose of two sample equivalence testing (test vs. control), compare and contrast this approach with traditional hypothesis testing and the practical interpretation of Type I and Type II Error in the equivalence testing context. Other topics covered will include a discussion of the evolution of equivalence testing analysis in the context of the literature and a discussion of the establishment of the region of clinical indifference (or functional equivalence).

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T4 Influencing Friends, Foes, and Your Career Sat, Feb 23, 1:30 PM - 3:30 PM
Napoleon D3
Instructor(s): James L. Hess, Leggett & Platt Incorporated

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This tutorial gives a framework for a statistician’s role in a business. Success is measured by the business contribution a statistician makes in the workplace; the tutorial provides skills that will improve the participant’s “batting average” in this arena. It has three main content sections: influence, business case development, and lessons learned. Three workshop activities are interspersed. When the participants employ what they learn in this tutorial, they will better position themselves to contribute to solutions of important problems in their organizations.

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PCE1 JMP Pro for the Practicing Statistician Sat, Feb 23, 1:45 PM - 3:30 PM
Napoleon A1&2
Instructor(s): Sam Gardner, JMP
Come see the depth and breadth of the data visualization and statistical analysis tools that are available in JMP Pro. JMP Pro’s data exploration tools that let you perform visual exploratory data analysis, leading you to important insights that guide the analysis process. JMP Pro also has advanced predictive analytics methods such as recursive partitioning, neural networks, PLS, gradient boosting and random forests. These advance predictive modeling tools can be applied broadly in areas such as scientific discovery, engineering, marketing, and financial risk.

You can also find more information about JMP Pro at our website.

 
PCE2 Mixed Model Power Analysis by Example: Using Free Web-Based Power Software Sat, Feb 23, 1:45 PM - 3:30 PM
Maurepas
Instructor(s): Dr. Deborah H. Glueck, Associate Professor; Dr. Aarti Munjal, PostDoctoral Fellow
GLIMMPSE is an open-source tool for calculating power and sample size for tests of means in the general linear mixed model and the general linear multivariate model. Mixed models have become the standard approach for handling correlated observations and accommodating missing data. The statistical methods used in GLIMMPSE are based on a transformation process that reduces the mixed model and hypothesis to an equivalent general linear multivariate model and hypothesis. Using power techniques for the equivalent multivariate model yields exact, or accurate approximate power for the original mixed model. The transformation method applies to designs with repeated measures, clustering, or a combination of the two.

GLIMMPSE is able to calculate power and sample size for tests of means in longitudinal and multilevel designs, whether cast as a mixed or multivariate model. We demonstrate the use of GLIMMPSE for two designs 1) a longitudinal study of a sensory focus intervention on memories of dental pain, and 2) a multilevel and longitudinal trial of a home-based program designed to reduce alcohol use among urban adolescents. A wizard format graphical user interfaces guides users through describing the study design, selecting the hypothesis tests, and choosing a covariance pattern. Many complicated covariance structures can be constructed by layering simpler patterns. For each example, we provide a step-by-step tutorial illustrating how to use the GLIMMPSE software and how to interpret the results.

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Brief Description of the Product
 
PCE3 Taming Big Data: Predictive Analytics Powered by SAP’s HANA Sat, Feb 23, 1:45 PM - 3:30 PM
Napoleon D1
Instructor(s): Todd Borchert, Senior Director, Cognilytics
Big Data problems are continuing to emerge in nearly every domain where statisticians work, including health care, financial services and retail to name a few. The computing approaches of the past are often not scalable to Big Data. Technology has now enabled analytics practitioners to ask questions they didn’t dare ask before.

Learn how to take advantage of in-memory technology to reduce the time and cost involved in performing predictive analysis against vast data volumes. You can design predictive models and visualize, discover, and share insights – and do it in real time by harnessing the power of SAP HANA combined with SAP Predictive Analysis.

We will demonstrate the power of SAP Predictive Analysis running on HANA by showing a customer segmentation example. Customer segmentation is of critical importance across a number of industries where one needs to identify groups of like customers for product recommendation, customer service, or risk management. Running an automated segmentation or clustering algorithm is a computationally demanding task that can often take hours to run. We will show how segmentation of a 10.5 million loan portfolio can be performed using a K-Means algorithm in a matter of a couple of minutes instead of hours or days on traditional disk-based predictive systems.

For more information see our website.

 
GS2 Closing Session: Feedback Panel Sat, Feb 23, 4:00 PM - 5:15 PM
Napoleon A1&2
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Please join us for a wrap-up discussion and feedback session for the second annual ASA Conference on Statistical Practice. Phil Scinto will lead a panel of CSP Committee members and conference participants in a final session to summarize the conference and to gather feedback. Each panelist will speak for 5 minutes to critique the conference (the good, the bad, areas for improvement). Discussion will then be extended to the audience for questions and feedback on how well the overall objectives of the conference were met, including how they can be better met in the future.

For the purposes of this discussion, please note that the conference was designed to aid applied statisticians in improving their abilities in consulting with and helping customers and organizations solve real-world problems. Specific attendee objectives include: 1. Learn statistical techniques that apply to your job as an applied statistician 2. Learn how to better communicate with customers 3. Learn how to have a positive impact on your organization

Additional feedback on additional objectives and needs of practicing statisticians, and how these can be best accomplished in the future, is also welcome. Refreshments will be provided at the close of the session along with a raffle of prizes.