Statistical Methods in Health Disparity Research | 誠品線上

Statistical Methods in Health Disparity Research

內容簡介

內容簡介 A health disparity refers to a higher burden of illness, injury, disability, or mortality experienced by one group relative to others attributable to multiple factors including socioeconomic status, environmental factors, insufficient access to health care, individual risk factors and behaviors and inequalities in education.

作者介紹

作者介紹 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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