Dewey Edition23
Reviews"In summary, Epidemiology: An Introduction is a superb addition to other publications that have appeared in the past decade. The author has achieved the stated goal of providing a coherent overview of epidemiologic principles and concepts."--American Journal of Epidemiology, "This is an excellent introduction to the principles and concepts of epidemiology. In a little over 200 pages Rothman covers all the essential topics for an introductory graduate level course in epidemiology." --European Journal of Public Health, "This is an excellent introduction to the principles and concepts ofepidemiology. In a little over 200 pages Rothman covers all the essentialtopics for an introductory graduate level course in epidemiology." --EuropeanJournal of Public Health, "Kenneth Rothman has taken the time to write a short and excellent introductory epidemiology textbook.... Frequently introductory texts strive for brevity through superficiality of coverage. Rothman chose a different approach: selectivity of subject matter. As a result, Epidemiology: AnIntroduction provides an exceptionally lucid overview of analytic epidemiology.... The mix of text, graphics, tables, and sidebars that is used throughout the book proves very useful in explicating important concepts such as confounding, interaction, study design, and biases, which may bechallenging to the student in an introductory course.... The clarity of expression in this book should be an inspiration to other authors and teachers of epidemiology."--The Epidemiology Monitor
Table Of Content1. Introduction to Epidemiologic Thinking2. What is Causation?3. Measuring Disease Occurrence and Causal Effects4. Types of Epidemiologic Study5. Biases in Study Design6. Random Error and the Role of Statistics7. Analyzing Simple Epidemiologic Data8. Controlling Confounding by Stratifying Data9. Measuring Interactions10. Using Regression Models in Epidemiologic Analysis11. Epidemiology in Clinical Settings
SynopsisThis new introductory text offers a simple and coherent account of current thinking on epidemiologic study design, data analysis and interpretation. The book begins with an introduction to casual thinking and casual inference, leading into measures of disease occurrence and measures of effect. With this foundation, the reader learns how design, analyze and interpret epidemiologic research studies, and how to deal successfully with confounding, the role of chance, and the exploration of interactions., In the past thirty years epidemiology has matured from a fledgling scientific field into a vibrant discipline that brings together the biological and social sciences, and in doing so draws upon disciplines ranging from statistics and survey sampling to the philosophy of science. These areas of knowledge have converged into a modern theory of epidemiology that has been slow to penetrate into textbooks, particularly at the introductory level. Epidemiology: An Introduction closes the gap. It begins with a brief, lucid discussion of casualy thinking and causal inference and then takes the reader through the elements of epidemiology, focusing on the measures of disease occurrence and causal effects. With these building blocks in place, the reader learns how to design, analyze and interpret epidemiologic research studies, and how to deal with the fundamental problems that epidemiologists face, including confounding, the role of chance, and the exploration of interactions. All these topics are layered on the foundation of basic principles presented in simple language, with numerous examples and questions for further thought., In the past thirty years epidemiology has matured from a fledgling scientific field into a vibrant discipline that brings together the biological and social sciences, and in doing so draws upon disciplines ranging from statistics and survey sampling to the philosophy of science. These areas of knowledge have converged into a modern theory of epidemiology that has been slow to penetrate into textbooks, particularly at the introductory level. Epidemiology: An Introduction closes the gap. It begins with a brief, lucid discussion of causal thinking and causal inference and then takes the reader through the elements of epidemiology, focusing on the measures of disease occurrence and causal effects. With these building blocks in place, the reader learns how to design, analyze and interpret problems that epidemiologists face, including confounding, the role of chance, and the exploration of interactions. All these topics are layered on the foundation of basic principles presented in simple language, with numerous examples and questions for further thought.