Statistical Sampling and Analysis

In litigation, business negotiations, and valuations, clients are typically confronted with seemingly endless amounts of data. Statistical samples, if properly designed and gathered, can provide important and defensible information about large populations of people, products, buildings, or events. Statistical samples allow experts to make precise, accurate, and efficient statements about groups of things that cannot be evaluated in their entirety. Our sampling experts have helped clients extract meaningful information from large populations by selecting samples from thousands of insurance claims, millions of allegedly defective products, multiple buildings or locations, constantly varying websites, and potential class members.

Statistical sampling is a specialty within the field of statistics. Sampling expertise includes the ability to design a proper sampling procedure given the target population, the form of the data, and the precision needed, as well as knowledge of how to weight data, estimate variances, and calculate the appropriate margin of error. Lacking proper training, non-experts who select samples tend to select simple random samples when they should use more complex techniques, resulting in estimates that will be both unreliable and biased. NERA's extensive experience in sampling allows us to design and implement precise, efficient sampling plans, which in turn allow us to make precise and accurate statements about the larger population.

NERA's Statistical Sampling and Analysis group provides consulting and expert testimony on the design, implementation, and analysis of both simple and complex samples used to address issues in mass torts, product liability, insurance allocation, intellectual property, antitrust, and labor litigation. Our capabilities include:

  • Selecting appropriate sample design, such as simple random sampling, dollar-based sampling, stratification, and cluster-based sampling
  • Drawing samples from relevant materials (e.g., paper copies, electronic records, products in a warehouse, glassware sold in stores, etc.)
  • Weighting data so that results correctly represent the target population
  • Calculating precise estimates and computing appropriate confidence intervals
  • Using tools such as the bootstrap method to determine the precision of complex statistics
  • Sampling from dynamic populations, such as websites
Name Title Location Phone Email
Sarah Butler Managing Director San Francisco +1 415 291 1022
Richard J. Eichmann Director San Francisco
Los Angeles
+1 415 291 1033
+1 213 346 3009
Daniel Hanson Director London +44 (0)207 659 8812
Dr. Naoya Kaneko Associate Director Tokyo +81 3 3500 3294
Dr. Melissa Pittaoulis Associate Director Philadelphia +1 215 864 3879
Dylan Galaty Senior Consultant San Francisco 415-291-1049
Dr. Samantha Iyengar Senior Consultant New York City (212) 345-3788
Healey Whitsett Senior Consultant Washington, DC +1 202 466 9202
Dr. Eugene Ericksen Affiliated Academic Philadelphia +1 215 864 3878
Dr. Kent Van Liere Affiliated Consultant San Francisco +1 415 291 1000
Title Type Author
Snapshot of Recent Trends in Asbestos Litigation: 2019 Update Report Mary Elizabeth C. Stern and Lucy P. Allen
Trends in Canadian Securities Class Actions: 2018 Update Report Bradley A. Heys and Robert Patton
Recent Trends in Securities Class Action Litigation: 2018 Full-Year Review Report Stefan Boettrich and Svetlana Starykh
An Introduction to Economic Approaches to Damages in a Japanese Context Published Article Ling Ling Ang, et al.
Snapshot of Recent Trends in Asbestos Litigation: 2018 Update White Paper Mary Elizabeth C. Stern and Lucy P. Allen
The Use Of Statistical Sampling Post-Duran Published Article By Sarah Butler
How To Get The Most Out Of Your Statistical Sampler Published Article By Dr. Eugene Ericksen
Complex Sampling for Litigation Working Paper By Dr. Eugene P. Ericksen