How to Effectively Use Statistical Sampling in Class Action Litigation: Tips and Strategies in 2019
The use of statistical sampling in class action litigation has reached its height in the recent years. The decisions made by the U.S. Supreme Court in Tyson Foods, Inc. v. Bouaphakeo commenced when it allowed plaintiffs to use representative evidence in the form of statistical sampling to support class certification. However, in contrast, the Duran v. U.S. Bank National Association case revealed that statistical sampling is an unreliable method in determining liability. Hence, the question on the parameters used as evidence in cases leave great uncertainty for litigators.
In this LIVE Webcast, a panel of thought leaders and professionals assembled by The Knowledge Group will provide the audience with an in-depth analysis of the use of Statistical Sampling in Class Action Litigation. Speakers will also present tips as well as strategic approaches in leveraging statistical evidence in employment litigation while avoiding possible risks and pitfalls.
Key issues that will be covered in this course are:
- Statistical Sampling Framework and Legal Landscape
- The Use of Statistical Sampling in Class Action Litigation
- Challenges and Legal Obligations
- Scope and Considerations
- Recent Court Decisions
- Litigation Strategies
- Trends, Updates and What Lies Ahead
Stefan Boedeker, Managing Director
Berkeley Research Group, LLC
- Fundamental concepts of statistical sampling: validity, accuracy, precision, and reliability
- Representativeness and Randomness
- Designing statistically valid and reliable samples.
- Case study
Dr. Kristof Zetenyi, Manager
Analysis Group, Inc.
- When to Consider Using Statistical Sampling
- Implications of Tyson Foods v. Bouaphakeo (2016)
- Discussion of Common Pitfalls
Who Should Attend:
- Labor and Employment Attorneys
- Class Action Lawyers
- Top Level Management
- Directors and Executives
- In-house Counsel
- Senior Counsel
- Litigation Officers
- Litigation Attorneys
- Other Interested Professionals
Mr. Boedeker is a Managing Director at Berkeley Research Group where he focuses on the application of economic, statistical, and financial models to a variety of areas such as solutions to business issues, complex litigation cases, and economic impact studies. He has extensive experience applying economic and statistical theories and methodologies to a wide variety of cases where But-for-scenarios have to be developed based on probabilistic methods and where statistical predictive modeling has to be applied to assess liability and damages.
For more than 25 years, Mr. Boedeker has applied these techniques in business disputes, single-plaintiff cases, multi-plaintiff cases, and class action proceedings in the areas of class certification, liability assessment, developing damages scenarios, and post settlement or judgment distributions.
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Method of Presentation:
Basic Knowledge in Civil Litigation
NY Category of CLE Credit:
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