Epidemiologic Methods: The Essentials is a concise, but thorough volume that provides a solid grounding in core methodologic issues. The book takes a streamlined approached on cohort studies, case-control studies, prevalence studies, randomized trials, demographic studies of morbidity and mortality, ecologic studies, screening, effect modification, bias and confounding. Organized according to study design, with each chapter building on those preceding it, the book provides detailed examples throughout, using data tables and graphs to reinforce methodologic points.
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Dr. Stephen Newman is Emeritus Professor at the University of Alberta, Edmonton, Canada. His primary appointment was in the Department of Psychiatry, with a cross-appointment in what is now the School of Public Health, where he taught courses on advanced epidemiologic methods and biostatistics. His research was in the areas of community-based psychiatric epidemiology and epidemiologic methodology. He has published three books, all with John Wiley & Sons. Biostatistical Methods in Epidemiology, published in 2001, is an advanced undergraduate or graduate text on the core biostatistical methods used by epidemiologists. A Classical Introduction to Galois Theory, published in 2012, is an undergraduate text on a profoundly beautiful topic in modern algebra. Semi-Riemannian Geometry, published in 2019, is an advanced undergraduate or graduate text on the mathematics underlying the theory of relativity.
Epidemiologic Methods: The Essentials is a concise, but thorough volume that provides a solid grounding in core methodologic issues. The book takes a streamlined approach on cohort studies, case-control studies, prevalence studies, randomized trials, demographic studies of morbidity and mortality, ecologic studies, screening, effect modification, bias and confounding. Organized according to study design, with each chapter building on those preceding it, the book provides detailed examples throughout, using data tables and graphs to reinforce methodologic points.
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