Research Summary
Benjamin Haaland, PhD, is Co-Director of the Cancer Biostatistics Shared Resource at Huntsman Cancer Institute and an Associate Professor in the Department of Population Health Sciences. Dr. Haaland has substantial expertise in design and analysis of randomized controlled trials, evidence synthesis and meta-analysis, non-parametric modeling of longitudinal and multi-level data, and applications of modern machine learning techniques to predictive health, with a major emphasis on cancer.
Education
- BS, Applied Mathematics, Montana State University, Bozeman
- MS, Statistics, Montana State University, Bozeman
- PhD, Statistics, University of Wisconsin-Madison
Biography
Ben Haaland is an Associate Professor in the Department of Population Health Sciences. From 2010-2014, Ben Haaland was an assistant professor in the Centre for Quantitative Medicine at Duke-NUS Graduate Medical School, Singapore and from 2014-2017, Ben was an assistant professor in the School of Industrial and Systems Engineering at Georgia Institute of Technology. Ben joined the University of Utah in 2017, and was appointed Co-Director of the Cancer Biostatistics Shared Resource in 2018.
Selected Recent Publications
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Wu YP, Parsons BG, Nagelhout E, Haaland B, Jensen J, Zaugg K, Caputo H, Lensink R, Harding G, Yancey J, Klein SZ. (2019) A four-group experiment to improve Western high school students’ sun protection behaviors. Translational behavioral medicine, 9(3), 468-479. |
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Sung CL, Wang W, Plumlee M, Haaland B. (2019) Multiresolution Functional ANOVA for Large-Scale, Many-Input Computer Experiments. Journal of the American Statistical Association, 1-23. |