Catherine Ann Sugar is an American biostatistician at the University of California, Los Angeles, where she is Professor in Residence in the Departments of Biostatistics, Statistics and Psychiatry and director of the biostatistics core for the Semel Institute for Neuroscience and Human Behavior. Her research concerns cluster analysis, covariance, and the applications of statistics in medicine and psychiatry. [1]
Sugar graduated from Pomona College in 1992. She earned a master's degree in mathematics from Stanford University in 1994, and a Ph.D. in statistics from Stanford in 1998, [1] under the supervision of Richard Olshen. [2] Prior to joining the UCLA faculty, Sugar worked in the Department of Information and Operations Management of the Marshall School of Business at the University of Southern California, with a joint appointment in the USC School of Pharmacy. [3]
In 2015 she was elected as a Fellow of the American Statistical Association "for outstanding methodological contributions in cluster analysis and functional data analysis; for extraordinary accomplishment in teaching and mentoring; for outstanding leadership in integrating statistical methods into mental health research; and for exemplary service to the profession." [4] [5]
Sander Greenland is an American statistician and epidemiologist with many contributions to statistical and epidemiologic methods including Bayesian and causal inference, bias analysis, and meta-analysis. His focus has been the extensions, limitations, and misuses of statistical methods in nonexperimental studies, especially in postmarketing surveillance of drugs, vaccines, and medical devices. He received honors Bachelor's and master's degrees in mathematics from the University of California, Berkeley, where he was Regent's and National Science Foundation Fellow in Mathematics, and then received Master's and Doctoral degrees in epidemiology from the University of California, Los Angeles (UCLA), where he was Regent's Fellow in Epidemiology. After serving as an assistant professor of biostatistics at Harvard, he joined the UCLA Epidemiology faculty in 1980 where he became Professor of Epidemiology in the Fielding School of Public Health in 1989, and Professor of Statistics in the UCLA College of Letters and Science in 1999. He moved to Emeritus status in 2012 and the following year he was awarded an honorary Doctor of Medicine by the University of Aarhus, Denmark.
Naihua Duan is a Taiwanese biostatistician specializing in mental health services and policy research at Columbia University. Duan is a professor of biostatistics with tenure in the Departments of Psychiatry and Biostatistics at Columbia University Medical Center, and a senior research scientist at NYSPI.
Olive Jean Dunn was an American mathematician and statistician, and professor of biostatistics at the University of California Los Angeles (UCLA). She described methods for computing confidence intervals and also codified the Bonferroni correction's application to confidence intervals. She authored the textbook Basic Statistics: A Primer for the Biomedical Sciences in 1977.
Vanja Dukic is an expert in computational statistics and mathematical epidemiology who works as a professor of applied mathematics at the University of Colorado Boulder. Her research includes work on using internet search engine access patterns to track diseases, and on the effects of climate change on the spread of diseases.
Grace Yun Yi is a professor of the University of Western Ontario where she currently holds a Tier I Canada Research Chair in Data Science. She was a professor at the University of Waterloo, Canada, where she holds a University Research Chair in Statistical and Actuarial Science. Her research concerns event history analysis with missing data and its applications in medicine, engineering, and social science.
Lynn Elizabeth Eberly is a professor of biostatistics in the University of Minnesota School of Public Health, whose research involves longitudinal studies, medical imaging, and other forms of correlated data.
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.
Elizabeth A. Stuart is a professor of mental health, biostatistics, and health policy and management in the Johns Hopkins Bloomberg School of Public Health. Her research involves causal inference and missing data in the statistics of mental health. She was a co-author on a study showing that post-suicide-attempt counseling can significantly reduce the risk of future suicide.
Janet D. Elashoff is a retired American statistician, formerly the director of biostatistics for Cedars-Sinai Medical Center and professor of biomathematics at UCLA.
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.
Ying Wei is a statistician and a professor of biostatistics in the Columbia University Mailman School of Public Health, working primarily on quantile regression, semiparametric models of longitudinal data, and their applications.
Amanda L. Golbeck is a statistician, social scientist, and academic leader. She is known for her book, Leadership and Women in Statistics, and her book on Elizabeth L. Scott, Equivalence: Elizabeth L. Scott at Berkeley. She is known for her pioneering definition of health numeracy.
Lisa Morrissey LaVange is Professor and Chair of the Department of Biostatistics in the Gillings School of Global Public Health at the University of North Carolina at Chapel Hill where she directs the department’s Collaborative Studies Coordinating Center (CSCC), overseeing faculty, staff, and students involved in large-scale clinical trials and epidemiological studies coordinated by the center. She returned to her alma mater in 2018 after serving as the director of the Office of Biostatistics in the United States Food and Drug Administration (FDA) Center for Drug Evaluation and Research (CDER). Her career also includes 16 years in non-profit research and 10 years in the pharmaceutical industry. She served as the 2007 president of the Eastern North American Region (ENAR) of the International Biometric Society (IBS), and as the 2018 American Statistical Association (ASA) president.
Paula Karen Roberson is a biostatistician at the University of Arkansas for Medical Sciences, where she chairs the department of biostatistics. Her research interests include the design of clinical trials, nonparametric statistics, and feature selection. She was president of the Caucus for Women in Statistics in 2015.
Eva Petkova is a Bulgarian-American biostatistician interested in the application of statistics to psychiatry, and known for her research on regression model comparison, brain imaging, and mental disorders. She is a professor of population health and of child and adolescent psychology at the New York University School of Medicine, and a research scientist at the Nathan Kline Institute for Psychiatric Research.
Damla Şentürk is a Turkish-American biostatistician and professor of biostatistics in the University of California, Los Angeles Fielding School of Public Health whose interests include longitudinal studies, functional data analysis, and applications of biostatistics in the study of autism and of dialysis outcomes.
Paula K. Hagedorn Diehr is an American biostatistician whose research topics generally concern health systems and ageing, and have included work on spatial variability and longitudinal data, health care utilization, mental health, insurance, diagnosis, and prediction of healthy life expectancies. She is a professor emerita of biostatistics, with a joint appointment in health systems and population health, at the University of Washington.
Hongmei Zhang is a Chinese-American biostatistician at the University of Memphis, where she is Bruns Endowed Professor in the Division of Epidemiology, Biostatistics, and Environmental Health Sciences, director of the division, program coordinator for biostatistics, and affiliated professor in the departments of mathematical sciences and biology. Her statistical interests include feature selection, biclustering, and Bayesian networks; she is also interested in the application of statistical methods to phenotype and genetic data and to epigenetics.
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.
Melanie Marie Wall is an American psychiatric biostatistician, psychometrician, and mental health data scientist who works at Columbia University as a professor in the departments of biostatistics and psychiatry, and as director of Mental Health Data Science, a joint project of the Columbia University Department of Psychiatry, Columbia University Medical Center, Research Foundation for Mental Hygiene, and New York State Psychiatric Institute. Her research has included topics such as grief and depression, eating disorders, marijuana use and abuse, and correlations between school performance and athletic activity, studied using latent variable models, spatial analysis, and longitudinal data. She is co-editor of the book Surviving Vietnam: Psychological Consequences of the War for US Veterans.