Nils Lid Hjort is a Norwegian statistician, who has been a professor of mathematical statistics at the University of Oslo since 1991. Hjort's research themes are varied, with particularly noteworthy contributions in the fields of Bayesian probability, density estimation and nonparametric regression, model selection, confidence distributions, and change detection. He has also worked with spatial statistics, statistics of remote sensing, pattern recognition, etc.
Jefferson Morris Gill is Distinguished Professor of Government, and of Mathematics & Statistics, the Director of the Center for Data Science, the Editor of Political Analysis, and a member of the Center for Behavioral Neuroscience at American University as of the Fall of 2017.
Tianwen Tony Cai is a Chinese statistician. He is the Daniel H. Silberberg Professor of Statistics and Vice Dean at the Wharton School of the University of Pennsylvania. He is also professor of Applied Math & Computational Science Graduate Group, and associate scholar at the Department of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine, University of Pennsylvania. In 2008 Cai received the COPSS Presidents' Award.
David Amiel Freedman was a Professor of Statistics at the University of California, Berkeley. He was a distinguished mathematical statistician whose wide-ranging research included the analysis of martingale inequalities, Markov processes, de Finetti's theorem, consistency of Bayes estimators, sampling, the bootstrap, and procedures for testing and evaluating models. He published extensively on methods for causal inference and the behavior of standard statistical models under non-standard conditions – for example, how regression models behave when fitted to data from randomized experiments. Freedman also wrote widely on the application—and misapplication—of statistics in the social sciences, including epidemiology, public policy, and law.
Jayanta Kumar Ghosh was an Indian statistician, an emeritus professor at Indian Statistical Institute and a professor of statistics at Purdue University.
Cytel is a multinational statistical software developer and contract research organization, headquartered in Cambridge, Massachusetts, USA. Cytel provides clinical trial design, implementation services, and statistical products primarily for the biotech and pharmaceutical development markets.
Larry Alan Wasserman is a Canadian-American statistician and a professor in the Department of Statistics & Data Science and the Machine Learning Department at Carnegie Mellon University.
Sudipto Banerjee is an Indian-American statistician best known for his work on Bayesian hierarchical modeling and inference for spatial data analysis. He is Professor of Biostatistics and Senior Associate Dean in the School of Public Health at the University of California, Los Angeles. He served as the Chair of the Department of Biostatistics at UCLA from 2014 through 2023. He served as the elected President of the International Society for Bayesian Analysis in 2022.
Lurdes Yoshiko Tani Inoue is a Brazilian-born statistician of Japanese descent, who specializes in Bayesian inference. She works as a professor of biostatistics in the University of Washington School of Public Health.
Amy Helen Herring is an American biostatistician interested in longitudinal data and reproductive health. Formerly the Carol Remmer Angle Distinguished Professor of Children's Environmental Health at the University of North Carolina at Chapel Hill, she is now Sara & Charles Ayres Distinguished Professor in the Department of Statistical Science, Global Health Institute, and Department of Biostatistics & Bioinformatics of Duke University.
Liming Peng is a Chinese biostatistician who works as a professor of biostatistics and bioinformatics at the Rollins School of Public Health, Emory University, where she is also affiliated with the Winship Cancer Institute. The topics of her statistical research include survival analysis, quantile regression, and nonparametric statistics; she applies these methods to the study of chronic diseases including diabetes and cystic fibrosis.
Nicola G. "Nicky" Best is a statistician known for her work on the deviance information criterion in Bayesian inference[B][E] and as a developer of Bayesian inference using Gibbs sampling.[A][D] She is a former professor of biostatistics and epidemiology at Imperial College London and is currently a biostatistician for GlaxoSmithKline.
Ying Guo is a Chinese biostatistician specializing in biomedical imaging, neuroimaging, and high-dimensional data analysis. She is a professor of biostatistics and bioinformatics at Emory University, where she directs the Emory Center for Biomedical Imaging Statistics.
Erica Eleanor Margret Moodie is a Canadian biostatistician known for her work on dynamic treatment regimes. She is Canada Research Chair and Professor in the Department of Epidemiology, Biostatistics, and Occupational Health at McGill University.
Roderick Joseph Alexander Little is an academic statistician, whose main research contributions lie in the statistical analysis of data with missing values and the analysis of complex sample survey data. Little is Richard D. Remington Distinguished University Professor of Biostatistics in the Department of Biostatistics at the University of Michigan, where he also holds academic appointments in the Department of Statistics and the Institute for Social Research.
Susan Mary Paddock is an American statistician whose publications have included work on nonparametric Bayesian inference, substance abuse, and the safety of autonomous vehicles.
Clarice Ring Weinberg is an American biostatistician and epidemiologist who works for the National Institute of Environmental Health Sciences as principal investigator in the Biostatistics and Computational Biology Branch. Her research concerns environmental epidemiology, and its combination with genetics in susceptibility to disease, including running the Sister Study on how environmental and genetic effects can lead to breast cancer. She has also published highly cited research on fertility.
Layla Mosama Parast Bartroff is an American biostatistician whose research involves surrogate markers, predictive modelling, survival analysis, causal inference, and health care quality. Formerly a senior statistician and co-director of the Center for Causal Inference at the RAND Corporation, she is an associate professor of statistics and data sciences at the University of Texas at Austin. She is also a frequent newspaper and news magazine editorial writer on issues related to public health, supported as a Public Voices Fellow of The OpEd Project.
Lu Wang is a Chinese-American biostatistician whose research topics have included causal inference, dynamic decision-making for medical treatments, missing data, and environmental health. She has also studied the correlation between mercury from seafood and autoimmune disease, and the benefits of providing improved transportation services for healthcare, as a member of the Michigan Institute for Healthcare Policy & Innovation. She is a professor of biostatistics and associate chair for research in biostatistics in the University of Michigan School of Public Health.
Maria De Iorio is an Italian biostatistician whose research applies Bayesian statistics and nonparametric statistics in genomics and bioinformatics. She is a professor at the National University of Singapore.
