Online Program

Health Disparities: Women in Statistics Making a Difference (306423)

Keywords: health disparities, clinical trials, prediction, survey statistics, spatial analysis

Health disparities refers to differences in health outcomes and health care access in populations defined by race, ethnicity, gender, socioeconomic status, age, location, disability, and sexual orientation. Health disparities can be unwittingly perpetuated using standard statistical methods and assumptions that don't reflect differential barriers to health care access or healthy outcomes. But, statisticians also have powerful tools to better understand and address health disparities. In this session, we will present statistical approaches to address health disparities in several areas. Scarlett Bellamy, ScD (Drexel University) will discuss tailoring interventions to marginalized populations in clinical trials. Yates Coley, PhD (Kaiser Permanente Washington) will present research to prevent disparities in clinical prediction algorithms. Melody Goodman, PhD (New York University) will discuss research developing quantitative survey tools to examine the level of community engagement, segregation in social spaces, and white spaces. Loni Philip Tabb, PhD (Drexel University) will present research on Bayesian spatial and spatio-temporal analyses to understand health and social disparities.

Speakers: Scarlett Bellamy (Drexel University) Yates Coley (Kaiser Permanente Washington Health Research Institute) Melody Goodman (New York University) Loni Philip Tabb (Drexel University) Therri Usher (FDA)