This textbook presents epidemiology in a practical manner, contextualized with discussions of theory and ethics, so that students and professionals from all academic backgrounds may develop a deep appreciation for how to conduct and interpret epidemiological research. Readers will develop skills to: -Search for and appraise literature critically, -Develop important research questions, -Design and implement studies to address those questions, -Perform and interpret fundamental statistical estimations and tests, -Consider the ethical implications of all stages of research, -Report findings in publications, and -Advocate for change in the public health setting. Epidemiology is and will remain a discipline in motion, and this textbook aims at reflecting this dynamism and keeping pace with its momentum. This textbook is not only a classroom tool with high utility but also an essential reference and guide for those engaging in research involving human subjects.

Designed to fulfill the four essential learning outcomes of Liberal Education and America’s Promise (LEAP)—a campaign of the Association of American Colleges and Universities (AACU*)—Epidemiology 101 meets the needs of instructors teaching an overview or introductory course in epidemiology.

It is an inescapable fact that causation, both generally (in populations), and specifically (in individuals), cannot be observed. Rather, causation is determined when it can be inferred that the risk of an observed injury or disease from a plausible cause is greater than the risk from other plausible causes. While many causal evaluations performed in forensic medicine are simplified by the fact that the circumstances surrounding the onset of an injury or disease clearly rules out competing causes (eg, a death following a fall), there are many cases that present a more complicated picture. It is these types of investigations, in which an analysis of comparative levels of risk from competing causes is needed to arrive at a reliable and accurate determination of the most likely cause, that forensic epidemiology (FE) is directed at.In Forensic Epidemiology, the authors present the legal and scientific theories underlying the methods by which risk is used in the investigation of individual causation. Methods and principles from epidemiology are combined with those from a multitude of other disciplines, including general medicine, pharmacology, forensic pathology, biostatistics, and biomechanics, inter alia, as a basis for investigating the plausibility of injury and disease exposures and mechanisms. The ultimate determination of the probability of causation (PC) results from an assessment of the strength of association of the investigated relationship in the individual, based on a comparison between the risk of disease or injury from the investigated exposure versus the risk of the same disease or injury occurring at the same point in time in the individual, but absent the exposure. The principles and methods described in Forensic Epidemiology will be of interest to those who work and study in the fields of forensic medicine, epidemiology, and the law. Historical perspective on how epidemiologic evidence of causation has been used in courts in the US and Europe Theory and science underlying the use of risk to assess individual causation Primer on epidemiologic methods, and various measures used to arrive at individualized comparative risk assessments and PC The use of statistical methods applied to publicly available data for ad hoc analysis of PC applicable to the specific circumstances of a case Background on complementary disciplines, including forensic pathology, death investigation, biomechanics, and survival analysis Examples of applied FE in the investigation of traffic injury and death, automotive and other product defect litigation, medical negligence, and criminal prosecution and defense

This book will serve as a primer for both laboratory and field scientists who are shaping the emerging field of molecular epidemiology. Molecular epidemiology utilizes the same paradigm as traditional epidemiology but uses biological markers to identify exposure, disease or susceptibility. Schulte and Perera present the epidemiologic methods pertinent to biological markers. The book is also designed to enumerate the considerations necessary for valid field research and provide a resource on the salient and subtle features of biological indicators.

Written by the best-selling author of Introduction to Epidemiology, this interactive workbook will engage your students in learning and prepare them to successfully evaluate public health programs and effectively communicate information that can inform public health officials and individuals. Divided into five chapters, the book covers assessment, disease etiology and investigation, clinical topics, evaluation, and communication. Definitions of statistical concepts and terms used in medical and epidemiologic literature are provided throughout. Perfect as a companion resource to any introductory Epidemiology text, Principles of Epidemiology Workbook provides an introduction to epidemiologic methodology for conducting public health assessment. Readers will come away with solid foundation of basic causal theory for identifying determinants of adverse health-related states or events and will gain a better understanding of the biological principles underlying the natural course of disease.

Principles of Epidemiology: A Self-Teaching Guide consists of a series of problem-solving exercises designed to introduce and guide readers toward an understanding of the principles and methods of epidemiology, rather than the epidemiology of specific diseases or subject areas such as ""infectious disease"" or ""chronic disease"" epidemiology. The guide has been formulated to be used by itself or as a supplement to standard textbooks. It illustrates and illuminates the principles and concepts of epidemiology and provides the reader an opportunity to practice the application of these principles in a logical sequence. The guide is divided into 14 exercises. Each exercise will help readers to understand principles or methods used by epidemiologist. Topics covered include the patterns of disease, populations at risk and risk assessment, screening for disease, investigation of an epidemic, etiology of disease, principles of causation, study design in epidemiologic investigation, data interpretation, and the uses and applications of epidemiology.

This practical guide to survival data and its analysis for readers with a minimal background in statistics shows why the analytic methods work and how to effectively analyze and interpret epidemiologic and medical survival data with the help of modern computer systems. The introduction presents a review of a variety of statistical methods that are not only key elements of survival analysis but are also central to statistical analysis in general. Techniques such as statistical tests, transformations, confidence intervals, and analytic modeling are presented in the context of survival data but are, in fact, statistical tools that apply to understanding the analysis of many kinds of data. Similarly, discussions of such statistical concepts as bias, confounding, independence, and interaction are presented in the context of survival analysis and also are basic components of a broad range of applications. These topics make up essentially a 'second-year', one-semester biostatistics course in survival analysis concepts and techniques for non-statisticians.