We have applied statistical sampling techniques in areas such as health care, energy, intellectual property, commercial litigation, and labor & employment.
Statistical sampling is useful when:
- A population is too large to reasonably analyze each observation
- Data are not available electronically
- The cost of analyzing individual observations in a population is too high in terms of time, money, or effort
We have assisted clients in cases which require analysis of large amounts of data and have applied statistical sampling techniques to make inferences about a specific population in matters involving product defects, financial instruments, distribution systems, medical claims, real estate, and employment data.
We have conducted complex statistical sampling projects to evaluate the quality and reliability of data relative to source documents, select records for more detailed investigation, and extrapolate analyses from records with adequate information to those missing data.