Stanford Health Policy’s Sherri Rose, PhD, an associate professor of medicine, won this year’s prestigious Gertrude M. Cox Award for her work applying statistics to improve health care.
The award from the Washington Statistical Society and RTI International recognizes a mid-career statistician who has made significant contributions to applied statistics. The award is named for Gertrude Cox, an American statistician who was the first woman elected to the International Statistical Institute in 1949, and later became president of the American Statistical Association.
“I’m honored to receive the Gertrude M. Cox Award,” Rose said. “This recognition further highlights the important role of statistics in tackling the immense challenges we face in health care, particularly for marginalized groups.”
Rose came to Stanford Health Policy in 2020 from Harvard Medical School. She develops statistical machine learning approaches to improve human health, through risk adjustment, comparative effectiveness research and health program evaluations. She is co-director of the Health Policy Data Science Lab, a group of interdisciplinary researchers at Stanford and Harvard who focus on developing and applying quantitative methods to solve problems in health policy.