The Role of Statistical Sampling in FCA Cases (On-Demand)

General Credits:
Original Date Of Course:

$179.00

Course Description

The program, “The Role of Statistical Sampling in FCA Cases​” offers an in-depth exploration of the use of statistical methods in False Claims Act cases. Attendees will gain a comprehensive understanding of sampling methodologies and delve into numerous case examples highlighting court treatment as well as legal and practical challenges to the use of statistical sampling in FCA litigation. Attendees will learn best practices for effectively leveraging statistical evidence or rebutting it in different stages of the FCA investigation and litigation process. This program is an excellent introduction into the complexities of statistical sampling and will give legal professionals the necessary tools to identify the need of statistical expertise to successfully navigate the challenges in FCA investigations and litigation.

Syllabus

  1. False Claims Act violation investigations and litigation
  2. Statistical sampling (general methodology and relevance in FCA litigation)
  3. Court treatment, legal, and practical challenges to the use of statistical sampling in FCA litigation
  4. Case studies and examples
  5. Emerging trends in the use of statistics in FCA litigation

Credit Details

Course Type

Course Instructor

Stefan Boedeker, Esq.

Original Date Of Course

General Credits

1.5

Stefan Boedeker, Esq.
Stefan Boedeker, Esq.
Stefan Boedeker, Esq. brings over 30 years of healthcare industry experience, providing statistical and economic consulting to providers, payors, and government agencies on complex disputes involving liability, payment discrepancies, and False Claims Act matters. He has extensive expertise in statistical sampling methodology, having worked with government agencies including OIG, CMS, and DOJ, and has served as a statistical expert for healthcare organizations navigating audits and Corporate Integrity Agreements at major accounting firms.
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