2024 Health Meeting VIRTUAL - Session 7C: Survey Says? Name Three Examples of Actuaries Using Public Survey Data 7.25.24 Recording

In this session, we will delve into the application of survey data analytics to extract valuable insights from public survey datasets. The discussion will start with the basics of survey design, sampling practices, and estimation of key statistics. Three case studies will be presented: one in the realm of population health and another in medical economics, both demonstrating the use of either SAS or R to perform the survey analytics. We will conclude the session with a third case study, discussing the application of insights from the American Community Survey in creating an area-based index that measures social determinants of health (SDoH) characteristics. At the conclusion of this session, attendees will be able to: Understand the basics of survey design, sampling practices, and estimation of key statistics, along with measures of variability such as confidence intervals or standard error measures Apply survey data analytics to extract insights from public survey datasets using SAS and R Utilize these insights in creating area-based risk indices