Sylvia Wassertheil-Smoller, Ph.D. is Professor of epidemiology in the Department of Epidemiology and Population Health at the Albert Einstein College of Medicine and is the Dorothy and William Manealoff Foundation and Molly Rosen Chair in Social Medicine, Emerita. In addition to her teaching, her research areas span both cardiovascular disease and cancer epidemiology. She has been a leader in landmark clinical trials in the prevention of heart disease and stroke and in major national and international collaborative prospective studies. She has won awards for mentoring students and junior faculty, as well as the Einstein Sprit of Achievement Award. She lives in New York.

Jordan Smoller, MD, ScD, is Professor of Psychiatry at Harvard Medical School and Professor in the Department of Epidemiology at the Harvard School of Public Health in Boston. He is Director of the Psychiatric and Neurodevelopmental Genetics Unit in the Massachusetts General Hospital (MGH)Center for Human Genetics Research. He is also an Associate Member of the Broad Institute and a Senior Scientist at the Broad's Stanley Center for Psychiatric Research. The focus of Dr. Smoller's research has been the identification of genetic determinants of childhood and adult psychiatric disorders and of genetic factors common to multiple psychiatric conditions. He is the recipient of numerous research awards, an author of more than 200 scientific articles, book chapters and reviews; as well as the author of the book: The Other Side of Normal (HarperCollins/William Morrow, 2012). He lives with his family in Boston.

Updated edition of a classic text that has brought biostatistics and epidemiology to a broad audience in a very accessible way

Easily understandable by readers with a non-mathematical background

Covers the design, analysis and interpretation of observational studies, randomized trials and even genetic research

Includes topics not usually found in introductory text books, such as propensity analysis, quality of life measures, genome wide association studies, evaluation of new biomarkers