Jay S. Kaufman, Ph.D., is an Associate Professor in the Department of Epidemiology, University of North Carolina at Chapel Hill, a Fellow at the Carolina Population Center, and a Research Fellow at the Sheps Center for Health Services Research. Dr. Kaufman’s research interests include social epidemiology, minority health, statistical methodology, and health care. He has published widely on social epidemiology, causal inference, and international health, among other topics, and is an Associate Editor for Epidemiologic Perspectives and Innovations and serves on the editorial board of the journal Epidemiology. His current research projects include research on social and community factors in the etiology of adverse birth outcomes, social position over the life course in relation to cardiovascular disease, non-parametric methods for covariate control and identification of direct effects for social factors, and racial and ethnic disparities associated with provision of medical care. Dr. Kaufman teaches courses in regression analysis and epidemiologic methods.
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PART ONE: BACKGROUND. | |||
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PART TWO: MEASURES AND MEASUREMENT. | |||
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PART THREE: DESIGN AND ANALYSIS. | |||
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