Flora Sheng is a statistical analyst at the RAND Corporation. She performs statistical analysis in combination with various quantitative methods to evaluate the impact of healthcare policies on health and well-being outcomes among vulnerable populations, including Medicare and Medicaid patients, people with substance and/or opioid use disorders (SUD and OUD), as well as people who live with HIV and HCV. She also worked on multiple NIH studies examining the associations between psychological-behavioral-environmental factors and adverse children outcomes, such as obesity, ADHD, and second-hand smoking. Her statistical skills include, but are not limited to, multivariate regressions, difference-in-difference analysis, inverse probability weighting, and latent change score modeling. She is highly proficient in SAS, STATA, and QGIS.
Prior to RAND, she was a senior research analyst at Virginia Commonwealth University (VCU) and served as a consultant at The Global Fund to Fight AIDS, Tuberculosis, and Malaria. Sheng earned her Bachelor of Medicine (M.B.B.S.) degree from West-China Medical College and M.P.H. degree from Tulane University.