Online Program

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Saturday, February 23
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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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 Download Handouts


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


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 Download Handouts


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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