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Partitioning principle and selection of good treatments
Institution:1. Department of Marketing, University of Wisconsin-Whitewater, Whitewater, WI, 53190-1790, United States;2. Department of Business Administration, University of Illinois at Urbana-Champaign, Champaign, IL 61820, United States;3. Department of Marketing and Entrepreneurship, University of Houston, Houston, TX 77204, United States;4. Department of Marketing, Trulaske College of Business, University of Missouri, Columbia, MO 65211, United States;1. Australian Research Council Training Centre in Data Analytics for Resources and Environments, Sydney, New South Wales, Australia;2. School of Mathematics and Statistics, The University of Sydney, Sydney, New South Wales, Australia;3. Department of Statistics, Northwestern University, Evanston, IL, USA;4. Stanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, CA, USA;5. Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA;6. Department of Biomedical Data Sciences, Stanford University, Stanford, CA, USA;7. Department of Statistics, Stanford University, Stanford, CA, USA;8. Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, USA;1. Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, 4-1-1, Ogawahigashi-cho, Kodaira, Tokyo 187-8551, Japan;2. Biomedical Image Processing Lab, Department of Electrical & Electronic Engineering, Eastern Mediterranean University, Famagusta, Mersin 10, Turkey;3. College of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100022, China
Abstract:
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