Data and Analytics

Statistical Sampling

Statisticians at Livanta are healthcare data experts with years of experience selecting the optimal sample size and methodological approach to answer questions about the Medicare population, to determine the total number of clinician audits that need to be conducted, and to assess the effectiveness of statewide health policy. Statistical approaches include randomization, stratification, clustering, and convenience sampling. The goal of statistical sampling is to minimize the margin of error in estimation while maintaining reasonable sample size.

Value Proposition: When data collection is costly, such as with auditing or medical record review, identifying an adequate number of cases is essential to promote a high degree of confidence in the findings while efficiently utilizing resources and minimizing disruption in provider practices.