Related Research Articles
The pneumonia severity index (PSI) or PORT Score is a clinical prediction rule that medical practitioners can use to calculate the probability of morbidity and mortality among patients with community acquired pneumonia.
Type D personality, a concept used in the field of medical psychology, is defined as the joint tendency towards negative affectivity and social inhibition. The letter D stands for "distressed".
Jianqing Fan is a statistician, financial econometrician, and data scientist. He is currently the Frederick L. Moore '18 Professor of Finance, Professor of Operations Research and Financial Engineering, Professor of Statistics and Machine Learning, and a former chairman of Department of Operations Research and Financial Engineering (2012–2015) and a former director of Committee of Statistical Studies (2005–2017) at Princeton University, where he directs both statistics lab and financial econometrics lab since 2008.
Zhiliang Ying is a Professor of Statistics in the Department of Statistics, Columbia University. He served as co-chair of the department.
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.
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.
Sharon-Lise Teresa Normand is a Canadian biostatistician whose research centers on the evaluation of the quality of care provided by physicians and hospitals, and on the health outcomes for medical devices and medical procedures. She is a professor in the Department of Health Care Policy at the Harvard Medical School and in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health.
Jane Forer Gentleman was an American-Canadian statistician, the second female president of the Statistical Society of Canada, and the first winner of the Janet L. Norwood Award For Outstanding Achievement By A Woman In The Statistical Sciences.
Bhramar Mukherjee is an Indian-American biostatistician, data scientist, professor and researcher. She is currently serving as the inaugural Senior Associate Dean of Public Health Data Science and Data Equity at the Yale School of Public Health from August 1, 2024. She is also appointed as Anna MR Lauder Professor of Biostatistics, Professor of Epidemiology with secondary appointment as Professor of Statistics and Data Science at Yale University.
Lisa Marie Lix is a Canadian health scientist and biostatistician at the University of Manitoba, where she holds a Canada Research Chair. Topics in her research have included cohort studies and the analysis of variance as well as bowel disease and disease-related bone fracture risk.
Sherri Rose is an American biostatistician. She is an associate professor of health care policy at Stanford University, and once worked at Harvard University. A fellow of the American Statistical Association, she has served as co-editor of Biostatistics since 2019 and Chair of the American Statistical Association’s Biometrics Section. Her research focuses on statistical machine learning for health care policy.
Keumhee Carrière Chough is a Korean-Canadian statistician whose theoretical contributions include work on repeated measures design; she is co-editor of Analysis of Mixed Data: Methods & Application, and has also contributed to highly cited works on public health. She is a professor of mathematical and statistical sciences at the University of Alberta.
Donna Spiegelman is a biostatistician and epidemiologist who works at the interface between the two fields as a methodologist, applying statistical solutions to address potential biases in epidemiologic studies.
Recurrent event analysis is a branch of survival analysis that analyzes the time until recurrences occur, such as recurrences of traits or diseases. Recurrent events are often analyzed in social sciences and medical studies, for example recurring infections, depressions or cancer recurrences. Recurrent event analysis attempts to answer certain questions, such as: how many recurrences occur on average within a certain time interval? Which factors are associated with a higher or lower risk of recurrence?
Robert L. Strawderman is an academic biostatistician and researcher who holds the Donald M. Foster, MD Distinguished Professorship in Biostatistics at the University of Rochester. He has served as chair of the Department of Biostatistics and Computational Biology since 2012. Strawderman's principal research interests include semiparametric methods for missing and censored data and statistical learning methods for risk and outcome prediction. Contributions in numerous other areas include inference and variable selection in the areas of dynamic treatment regimes and causal inference in mediation analysis and for recurrent events.
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.
Julia Lynn Sharp is an American mathematical statistician in the Applied and Computational Statistics Group at the National Institute of Standards and Technology in Fort Collins, Colorado, with expertise in the scientific applications of statistical problems involving longitudinal data, uncertainty analysis, mixed models, and the design of experiments.
Danyu Lin is a Chinese-American biostatistician known for his contributions to survival analysis, statistical genetics, and infectious diseases. He is currently the Dennis Gillings Distinguished Professor of Biostatistics at the University of North Carolina at Chapel Hill.
Chiung-Yu Huang is a Taiwanese-American biostatistician whose research focuses on statistical methodology for testing the efficacy of vaccines, including survival analysis, competing risks, and recurrent event analysis. She is a professor in the Department of Epidemiology & Biostatistics at the University of California, San Francisco.
References
- ↑ Li, Qian H.; Lagakos, Stephen W. (April 1997), "Use of The Wei–Lin–Weissfeld method for the analysis of a recurring and a terminating event", Statistics in Medicine, 16 (8): 925–940, doi:10.1002/(sici)1097-0258(19970430)16:8<925::aid-sim545>3.0.co;2-2
- ↑ Metcalfe, Chris; Thompson, Simon G. (April 2007), "Wei, Lin and Weissfeld's marginal analysis of multivariate failure time data: should it be applied to a recurrent events outcome?", Statistical Methods in Medical Research, 16 (2): 103–122, doi:10.1177/0962280206071926, hdl: 1983/0c15aeee-0913-4eca-a5cc-05e7211e2f53
- ↑ Lisa Weissfeld at the Mathematics Genealogy Project
- 1 2 3 "Weissfelds say goodbye to Pitt" (PDF), Epidemiology Newsletter, p. 2, March 2015, retrieved 2023-04-24
- ↑ "History", Risk Analysis Section, American Statistical Association, retrieved 2023-04-24
- ↑ "Section officers, 1997", Risk Analysis Section, American Statistical Association, retrieved 2023-04-24
- ↑ "Library", Committee of Presidents of Statistical Societies, American Statistical Association, retrieved 2023-04-24
- ↑ Fellows, American Statistical Association, retrieved 2023-04-24
