Statistics & Sampling

The inherent mathematical complexity of advanced statistical approaches can make their use challenging. Analysis Group clients rely on us not only for the depth of our quantitative expertise, but also for the pragmatic application of our analyses. This includes applying the most appropriate statistical tool to each problem, while also considering how the statistical methodology will be explained to the trier of fact and/or client in terms understandable to non-specialists.

We use statistical techniques in litigation related to antitrust and competition, intellectual property, and securities, financial products, and institutions. We also have extensive experience supporting clients in non-litigation contexts, for example in health care analyses, and with market research and survey design and implementation. Our work draws on several core areas of statistical analysis:

  • Sample design and implementation
  • Statistical inference
  • Analysis of variance
  • Regression analysis and correlation
  • Power analysis

Our consultants and academic experts apply rigorous statistical techniques and econometric methods including:

  • Applying statistical methods (biostatistics) to clinical trials and other biologic data in intellectual property disputes, mass torts, and class actions
  • Assessing allegations of overpayment of medical claims
  • Analyzing data collected through surveys
  • Modeling consumer decisions and preferences through market research to evaluate and quantify consumer preferences of complex consumer products
  • Analyzing mortgage-backed securities using statistical sampling of loans
  • Analyzing potentially fraudulent activity in allegations of data breaches
  • Developing and implementing cutting-edge GPU-based numerical simulations and estimation techniques for large-scale problems in finance, health care, and antitrust
  • Developing metrics for measuring energy distribution system reliability using stratified sampling 
  • Analyzing disparate impact in discrimination matters
  • Estimating incidence of construction defects
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