Statistics and Sampling

Our statistics and econometrics experts are skilled in developing, implementing, and analyzing a variety of statistical sampling designs, as well as testing the scientific validity of statistical samples. We also have expertise in using statistical samples to assess liability and extrapolate damages for the larger population based on various sampling designs. Cornerstone Research staff and affiliated experts have provided statistical sampling consulting and expert witness testimony in:

• False Claims Act litigation and other government investigations in a variety of industries
• Reimbursement disputes between healthcare providers and health insurance companies
• Mortgage loan and automotive product liability cases in which defect rates were at issue
• Employment discrimination and affirmative action university admissions cases

Cornerstone Research regularly performs complex statistical analysis in a wide range of litigation. We have expertise in a variety of statistical methods, including:

• causal inference methods
• statistical significance tests
• parametric and non-parametric modeling
• bootstrapping techniques
• Monte Carlo simulation
• survival analysis

We have employed advanced statistical techniques at the class certification and merits stages of large class actions and in government investigations, including work on mergers, competition matters, product liability litigation, and employment and admissions discrimination cases. In addition, we support statistics and econometrics experts in a range of industries, including automotive, securities and loans, healthcare, pharmaceuticals, consumer goods, and high tech.

See also Statistics, Simulations, and Optimization

Biostatistical and epidemiological issues are found in a wide range of litigation, including product liability, securities, and labor class actions. Our affiliated experts bring deep expertise in:

• Assessing clinical trial design and conducting safety and efficacy analyses for drug candidates
• Analyzing data from sources such as observational studies and post-marketing surveillance databases
• Analyzing medical and prescription drug claims data
• Conducting epidemiological analyses, including assessment of studies and data related to the COVID-19 pandemic.

See also Healthcare

Our expertise in statistics and sampling is supplemented by expertise in the science of big data. Our in-house team of programming specialists, along with our secure analytics and computational infrastructure, allows us to efficiently analyze large-scale data and develop sophisticated data approaches using artificial intelligence and machine learning.

See also Data Science Center: Artificial Intelligence and Machine Learning

Our statistics and econometrics expertise is often applied in litigation related to companies’ use of algorithmic processes to make business decisions in areas such as employment, advertising, consumer finance, and healthcare. Automated decision-making processes may generate disparate impact across groups and lead to allegations of algorithmic discrimination and bias. Our experts’ cutting-edge data analytics techniques and deep statistics expertise enable us to provide insightful analyses in addressing such claims.

See also Digital Economy: Labor, Employment, and Algorithmic Bias