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9780367635121

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“Rao’s book provides useful technical guidance, along with important substantive context that will be helpful to statisticians who seek to work effectively with multidisciplinary teams or who are pursuing health disparities statistical methods research…Overall, I enjoyed reading this book and expect to use it as a reference moving forward. I was pleased by Rao’s inclusion of a variety of methods given the multiple data types encountered in disparity research, including surveys. This enhances the book’s unique contribution. Rao took on a broad and ambitious topic with this book, so there will inevitably be topics missing from here in the view of some readers. Course instructors and other readers should be prepared to augment the information provided with supplementary materials. An instructor with expertise in statistical research aimed toward identifying health disparities should have no problem doing so.” - Susan M. Paddock, Journal of the American Statistical Association, May 2024

Author Information

J. Sunil Rao, Ph.D. is Professor of Biostatistics in the School of Public Health at the University of Minnesota, Twin Cities and Founding Director Emeritus in the Division of Biostatistics at the Miller School of Medicine, University of Miami. He has published widely about methods for complex data modeling including high dimensional model selection, mixed model prediction, small area estimation, and bump hunting machine learning, as well as statistical methods for applied cancer biostatistics. He is a Fellow of the American Statistical Association and an elected member of the International Statistical Institute.

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