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A methodological advisor or statistical consultant provides methodological and statistical advice and guidance to clients interested in making decisions regarding the design of studies, the collection and analysis of data, and the presentation and dissemination of research findings. [1]
Estimation problems for dependent regression (1956) Olive Jean Dunn (1 September 1915 – 12 January 2008) [ 1 ] [ 2 ] was an American mathematician and statistician, and professor of biostatistics at the University of California Los Angeles (UCLA). [ 3 ]
www2.warwick.ac.uk /fac /sci /statistics /staff /academic-research /roberts Gareth Owen Roberts FRS FLSW (born 1964) is a statistician and applied probabilist. He is Professor of Statistics in the Department of Statistics and Director of the Centre for Research in Statistical Methodology (CRiSM) at the University of Warwick . [ 2 ]
Claire McKay Bowen is an American statistician whose work focuses on data privacy, differential privacy, synthetic data, and their effects on the statistical analysis of economic data. She is a senior fellow and head of the statistical methods group in the Center on Labor, Human Services, and Population of the Urban Institute , an American ...
Dodd is a mathematical statistician in the division of clinical research's biostatistics research branch at the National Institute of Allergy and Infectious Diseases (NIAID). She specializes in clinical trials methodology, statistical analysis of genomic data, design of clinical trials using biomarkers and imaging modalities, and statistical ...
Peter McCullagh FRS (born 8 January 1952) is a Northern Irish-born American statistician and John D. MacArthur Distinguished Service Professor in the Department of Statistics at the University of Chicago.
He was awarded a Sloan Research Fellowship in 2005, [22] [23] National Science Foundation CAREER Award in 2006, [24] and a Guggenheim Fellowship in 2024. [25] [26] Wainwright was selected as a Fellow of the Institute of Mathematical Statistics in 2014 "for his fundamental research in statistical machine learning and high-dimensional statistics ...
He was noted for his work on multivariate statistics.He also conducted work on unit-weighted regression, proving the idea that under a wide variety of common conditions, almost all sets of weights will yield composites that are very highly correlated (Wilks, 1938), a result that has been dubbed Wilks's theorem (Ree, Carretta, & Earles, 1998).
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