— 2021 —
Nan Laird, Harvey V. Fineberg Professor of Biostatistics (Emerita) at Harvard T.H. Chan School of Public Health, is recognized for her work on powerful methods that gave researchers the tools they needed to answer important questions in health, medicine, psychology and more. This jump-started a field known as “random effects modeling for longitudinal data analysis,” and the methods Laird introduced in 1982 are still the most widely used techniques in both observational studies and clinical trials today.
— 2018 —
Bradley Efron, professor of statistics and biomedical data science at Stanford University, is recognized for the "bootstrap," a method he developed in 1977 for assessing the uncertainty of scientific results that has had extraordinary impact across many scientific fields. With the bootstrap, scientists are able to learn from limited data in a simple way that enables them to assess the uncertainty of their findings.
— 2016 —
Sir David Cox
Sir David Cox is recognized for his 1972 Journal of the Royal Statistical Society, series B, paper in which he developed the proportional hazards model that today bears his name. The Cox Model is widely used in the analysis of survival data and enables researchers to more easily identify the risks of specific factors for mortality or other survival outcomes among groups of patients with very different characteristics.