Statistical Sampling and Extrapolation in FCA Litigation: Leveraging Opportunities
Live Webcast Date:
Thursday, June 28, 2018 from 12:00 pm to 1:00 pm (ET)
Online CLE FCA Litigation
Join us for this Knowledge Group Online CLE FCA Litigation Webinar. For the past years, statistical sampling and extrapolation methodologies have been increasingly applied in a great number of False Claims Act (FCA) cases. Although there are no clear rules on the use of statistical sampling evidence in FCA litigation, courts have ruled favorably on the use of statistical sampling to prove damages where liability is determined.
In this Webcast, a seasoned panel of thought leaders and practitioners brought together by The Knowledge Group will provide the audience with an in-depth analysis and discussion on the use of Statistical Sampling and Extrapolation in FCA Litigation. Speakers will go beyond the basic and present to the audience a comprehensive guide in maximizing the opportunities presented by sampling and extrapolation.
Key topics include:
- Statistical Sampling and Extrapolation – Recent Trends
- Notable Court Rulings
- Recent Developments
- Opportunities and Challenges
- Litigation Strategies
Agenda
SEGMENT 1:Angela M. Pazzaglia, PHD, Manager
Bates White
- What is statistical sampling and why is it important?
- Important considerations when using sampling evidence (e.g., probability vs. non-probability samples, sampling variability, representativeness)
- Guidance from the courts on the use of sampling evidence in FCA cases
Mihran Yenikomshian, Vice President
Analysis Group
- Overview of statistical sampling and how it is being used today (liability and extrapolation)
- Examples of recent cases
- Considerations for appropriateness to use statistical sampling
- Insights on how big data and artificial intelligence may change the appropriateness of statistical sampling
Who Should Attend
- Attorneys General
- Healthcare Lawyers
- In-house Counsel likely for Pharma and Manufacturing Companies
- Litigation Officers
- Healthcare Service Providers
- General Counsel
- Accountants
Online CLE FCA Litigation
SEGMENT 1:Angela M. Pazzaglia, PHD, Manager
Bates White
- What is statistical sampling and why is it important?
- Important considerations when using sampling evidence (e.g., probability vs. non-probability samples, sampling variability, representativeness)
- Guidance from the courts on the use of sampling evidence in FCA cases
Mihran Yenikomshian, Vice President
Analysis Group
- Overview of statistical sampling and how it is being used today (liability and extrapolation)
- Examples of recent cases
- Considerations for appropriateness to use statistical sampling
- Insights on how big data and artificial intelligence may change the appropriateness of statistical sampling
Online CLE FCA Litigation
Angela M. Pazzaglia, PHDManagerBates White
Angela Pazzaglia is a managing economist at Bates White, a leading firm in economic and statistical consulting. In her role as a statistical expert, Dr. Pazzaglia conducts quantitative analyses such as sampling and extrapolation, causation and liability analysis, and damages estimation. She focuses on litigation in the healthcare and pharmaceutical industries, including work on False Claims Act and anti-kickback statute engagements. While with Bates White, Dr. Pazzaglia has estimated liability and damages for a case involving alleged kickbacks by a major brand name pharmaceutical company and assessed statistical claims and sample projections in a matter related to false advertising. She also has extensive experience analyzing pharmaceutical pricing and reimbursements using large transactional sales and claims databases.
Dr. Pazzaglia received her M.S. and Ph.D. from the University of Massachusetts Amherst, where she studied computational modeling.
Mihran YenikomshianVice PresidentAnalysis Group
Mr. Yenikomshian specializes in data analysis and economic modeling, and has consulted on economic and strategic issues in a variety of industries, including pharmaceuticals, medical insurance, and computer software. He has calculated damages in a variety of false claims acts claims, including off-label pharmaceutical promotional matters. Mr. Yenikomshian has extensive experience analyzing large datasets, including administrative insurance medical claims and transactional software sales data. He has provided critiques of data and analytical methodologies in support of rebuttal testimony, and has assisted attorneys with discovery, cross-examination strategy, and settlement negotiations. In addition, Mr. Yenikomshian has created interactive software tools to help clients make decisions on contracting strategies and Medicaid rebate negotiations. Mr. Yenikomshian received his MBA at the Olin Graduate School of Business at Babson College and his B.A. in quantitative economics and computer science from Tufts University.
Online CLE FCA Litigation
Course Level:
Intermediate
Advance Preparation:
Print and review course materials
Method Of Presentation:
On-demand Webcast
Prerequisite:
Experience in False Claims Act (FCA) litigation
Course Code:
147173
NY Category of CLE Credit:
Skills
Total Credit:
1.0 CLE
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About the Knowledge Group
The Knowledge Group has been a leading global provider of Continuing Education (CLE, CPE) for over 13 Years. We produce over 450 LIVE webcasts annually and have a catalog of over 4,000 on-demand courses.
Speaker Firms
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Faculty
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Angela M. Pazzaglia, PHD
Manager
Bates White
Manager
Bates White
Mihran Yenikomshian
Vice President
Analysis Group
Vice President
Analysis Group
About the Knowledge Group
The Knowledge Group has been a leading global provider of Continuing Education (CLE, CPE) for over 13 Years. We produce over 450 LIVE webcasts annually and have a catalog of over 4,000 on-demand courses.
Bates White is an economic consulting firm that provides advanced, empirically-based economic, financial, and econometric analysis to law firms, corporations, and government agencies. We advise clients on litigation, case development and strategy, assessing and analyzing the relative strengths of economic arguments, and determining optimal strategies for discovery, motions, trial preparations, and settlement.
Website: https://www.bateswhite.com/
Analysis Group is one of the largest private economics consulting firms, with more than 800 professionals across 13 offices in North America, Europe, and Asia. Since 1981, we have provided expertise in economics, finance, health care analytics, and strategy to top law firms, Fortune Global 500 companies, and government agencies worldwide. Our internal experts, together with our network of affiliated experts from academia, industry, and government, offer our clients exceptional breadth and depth of expertise.
Website: https://www.analysisgroup.com/
Angela Pazzaglia is a managing economist at Bates White, a leading firm in economic and statistical consulting. In her role as a statistical expert, Dr. Pazzaglia conducts quantitative analyses such as sampling and extrapolation, causation and liability analysis, and damages estimation. She focuses on litigation in the healthcare and pharmaceutical industries, including work on False Claims Act and anti-kickback statute engagements. While with Bates White, Dr. Pazzaglia has estimated liability and damages for a case involving alleged kickbacks by a major brand name pharmaceutical company and assessed statistical claims and sample projections in a matter related to false advertising. She also has extensive experience analyzing pharmaceutical pricing and reimbursements using large transactional sales and claims databases.
Dr. Pazzaglia received her M.S. and Ph.D. from the University of Massachusetts Amherst, where she studied computational modeling.
Mr. Yenikomshian specializes in data analysis and economic modeling, and has consulted on economic and strategic issues in a variety of industries, including pharmaceuticals, medical insurance, and computer software. He has calculated damages in a variety of false claims acts claims, including off-label pharmaceutical promotional matters. Mr. Yenikomshian has extensive experience analyzing large datasets, including administrative insurance medical claims and transactional software sales data. He has provided critiques of data and analytical methodologies in support of rebuttal testimony, and has assisted attorneys with discovery, cross-examination strategy, and settlement negotiations. In addition, Mr. Yenikomshian has created interactive software tools to help clients make decisions on contracting strategies and Medicaid rebate negotiations. Mr. Yenikomshian received his MBA at the Olin Graduate School of Business at Babson College and his B.A. in quantitative economics and computer science from Tufts University.
