A Pocket Guide to Epidemiology is a stand-alone introductory text on the basic principles and concepts of epidemiology. The primary audience for this text is the public health student or professional, clinician, health journalist, and anyone else at any age or life experience that is interested in learning what epidemiology is all about in a convenient, easy to understand format with timely, real-world health examples.

David G. Kleinbaum is a Professor of Epidemiology at Emory University's Rollins School of Public Health in Atlanta, GA, and an internationally recognized expert in teaching biostatistical and epidemiological concepts and methods at all levels. He is the author or co-author of several widely acclaimed textbooks including ActivEpi CD ROM, The ActivEpi Companion Textbook, Applied Regression Analysis and Other Multivariable Methods, Epidemiologic Research: Principles and Quantitative Methods, Logistic Regression-A Self-Learning Text, and Survival Analysis-A Self-Learning Text. Dr. Kleinbaum has more than 25 years of experience teaching over 100 short courses on statistical and epidemiologic methods to a variety of international audiences, and has published widely in both the methodological and applied public health literature. He is also an experienced and sought-after consultant, and is presently an ad-hoc consultant to research staff at the Centers for Disease Control and Prevention. In December 2005, Dr. Kleinbaum was the first recipient of the Association of Schools of Public Health Pfizer Award for Career Teaching Excellence. In November 2006, he also received the American Public Health Association's 2006 award for Career Teaching Excellence in Epidemiology.

Dr. Kevin M. Sullivan is an Associate Professor of Epidemiology at Emory University's Rollins School of Public Health. He has worked in the area of epidemiology and public health for over 30 years and has over 80 publications in peer-reviewed journals and has published chapters in several books. He is one of the developers of Epi Info, a freely downloadable web-based software package for the analysis of epidemiologic data published by the Centers for Disease Control and Prevention. He is also the co-author of OpenEpi, a freely downloadable web-based calculator for epidemiologic data (www.OpenEpi.com).

Ms. Nancy Barker is a statistical consultant who formerly worked at the Centers for Disease Control and Prevention. She is an Instructor in the Career MPH at the Rollins School of Public Health at Emory University where she teaches a distance learning course on basic epidemiology that uses ActivEpi CD and ActivEpi Companion Text as the course textbooks.

More detailed information about ActivEpi CD, ActivEpi Companion Text, and Pocket Guide to Epidemiology can be found on Professor Kleinbaum's website http://www.activepi.com

Autorentext

David G. Kleinbaum is a Professor of Epidemiology at Emory University's Rollins School of Public Health in Atlanta, GA, and an internationally recognized expert in teaching biostatistical and epidemiological concepts and methods at all levels. He is the author or co-author of several widely acclaimed textbooks including ActivEpi CD ROM, The ActivEpi Companion Textbook, Applied Regression Analysis and Other Multivariable Methods, Epidemiologic Research: Principles and Quantitative Methods, Logistic Regression-A Self-Learning Text, and Survival Analysis-A Self-Learning Text. Dr. Kleinbaum has more than 25 years of experience teaching over 100 short courses on statistical and epidemiologic methods to a variety of international audiences, and has published widely in both the methodological and applied public health literature. He is also an experienced and sought-after consultant, and is presently an ad-hoc consultant to research staff at the Centers for Disease Control and Prevention. In December 2005, Dr. Kleinbaum was the first recipient of the Association of Schools of Public Health Pfizer Award for Career Teaching Excellence. In November 2006, he also received the American Public Health Association's 2006 award for Career Teaching Excellence in Epidemiology.

Dr. Kevin M. Sullivan is an Associate Professor of Epidemiology at Emory University's Rollins School of Public Health. He has worked in the area of epidemiology and public health for over 30 years and has over 80 publications in peer-reviewed journals and has published chapters in several books. He is one of the developers of Epi Info, a freely downloadable web-based software package for the analysis of epidemiologic data published by the Centers for Disease Control and Prevention. He is also the co-author of OpenEpi, a freely downloadable web-based calculator for epidemiologic data (www.OpenEpi.com).

Ms. Nancy Barker is a statistical consultant who formerly worked at the Centers for Disease Control and Prevention. She is an Instructor in the Career MPH at the Rollins School of Public Health at Emory University where she teaches a distance learning course on basic epidemiology that uses ActivEpi CD and ActivEpi Companion Text as the course textbooks.

Klappentext

In the nearly three years since the publication of the ActivEpi companion text, the authors received several suggestions to produce an abbreviated version that narrows the discussion to the most "essential" principals and methods. A Pocket Guide to Epidemiology contains less than half as many pages as the ActivEpi Companion Text and is a stand-alone introductory text on the basic principals and concepts of epidemiology.

Inhalt

A Pocket-Size Introduction.- The Big Picture - with Examples.- How to Set Things Up? Study Designs.- How Often does it Happen? Disease Frequency.- What's the Answer? Measures of Effect.- What is the Public Health Impact?.- Is There Something Wrong? Validity and Bias.- Were Subjects Chosen Badly? Selection Bias.- Are the Data Correct? Information Bias.- Other Factors Accounted for? Confounding and Interaction.- Confounding can be Confounding - Several Risk Factors.- Simple Analyses- 2×2 Tables are not that Simple.- Control - What It's all about.- How to Deal with Lots of Tables? Stratified Analysis.- Matching - Seems Easy, But not that Easy.