Understand the role of epidemiology in clinical medicine for the best patient outcomes possibleA Doody's Core Title for 2024!For nearly a quarter of a century, Medical Epidemiology has been the go-to text for understanding the principles and concepts of epidemiology and the relationship between population-based science and efficient patient care. It delivers the most current information on patterns of disease occurrence and risk fa...

When Thomas Edison began wiring New York City with a direct current electricity distribution system in the 1880s, he gave humankind the magic of electric light, heat, and power; in the process, though, he inadvertently opened a Pandoras Box of unimaginable illness and death.Dirty Electricity tells the story of Dr. Samuel Milham, the scientist who first alerted the world about the frightening link between occupational exposure to electromagnetic fields and ...

Much as we take comfort in the belief that modern medicine and public health tactics can protect us from horrifying contagious diseases, such faith is dangerously unfounded. So demonstrates Mark Harrison in this pathbreaking investigation of the intimate connections between trade and disease throughout modern history. For centuries commerce has been the single most important factor in spreading diseases to different parts of the world, the author shows, and today the same is true. But in t...

This self-contained account of the statistical basis of epidemiology has been written specifically for those with a basic training in biology, therefore no previous knowledge is assumed and the mathematics is deliberately kept at a manageable level. The authors show how all statistical analysis of data is based on probability models, and once one understands the model, analysis follows easily. In showing how to use models in epidemiology the authors have chosen to emphasize the role of lik...

The USA Today Bestseller'The infectious disease expert who predicted the spread of coronavirus' - Daily Mail'Osterholm has produced a sharp, persuasive and urgent manifesto for how the world needs to think differently about natural threats, offering a blueprint for setting priorities and explaining why the infrastructure of global health needs reconfiguring... Deadliest Enemy will help to set the terms of that esse...

Functional magnetic resonance imaging (fMRI) has become the most popular method for imaging brain function. Handbook of Functional MRI Data Analysis provides a comprehensive and practical introduction to the methods used for fMRI data analysis. Using minimal jargon, this book explains the concepts behind processing fMRI data, focusing on the techniques that are most commonly used in the field. This book provides background about the methods employed by common data analysis packages includi...

Social epidemiology is the study of how the social world influences -- and in many cases defines -- the fundamental determinants of health. This link was substantiated in the first edition of Social Epidemiology, and the generation of research that followed has fundamentally changed the way we understand epidemiology and public health. This much-awaited second edition elevates the field again, first by codifying the last decade of research, then by extending it to examine how publ...

Traditional epidemiology coursework is centered on the design and analysis of disease control. This important knowledge forms the backbone of what epidemiology is, but it can sometimes become a rote exercise in calculations rather than what it can and should be--training in thinking like an epidemiologist. EXERCISES IN EPIDEMIOLOGY enriches the core epidemiology coursework with a set of living, breathing problems from the real-world epidemiology literature. Comprising nearly 200 questions ...

Two decades after the third edition of Lilienfeld's Foundations of Epidemiology advanced the teaching of epidemiology, this completely revised fourth edition offers a new and innovative approach for future generations of students in population health. Authored by two longtime educators in epidemiology, this all-new Foundations frames the field's fundamental concepts within a mix of classic examples and recent case studies, as well the inclusion of recently developed measu...

Numerical Ecology with R provides a long-awaited bridge between a textbook in Numerical Ecology and the implementation of this discipline in the R language. After short theoretical overviews, the authors accompany the users through the exploration of the methods by means of applied and extensively commented examples. Users are invited to use this book as a teaching companion at the computer. The travel starts with exploratory approaches, proceeds with the construc...

The second edition of this standard text guides biomedical researchers in the selection and use of advanced statistical methods and the presentation of results to clinical colleagues. It assumes no knowledge of mathematics beyond high school level and is accessible to anyone with an introductory background in statistics. The Stata statistical software package is again used to perform the analyses, this time employing the much improved version 10 with its intuitive point and click as well a...

This book is for anyone who has biomedical data and needs to identify variables that predict an outcome, for two-group outcomes such as tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction problems, especially if the variables being studied may not meet the assumptions of traditional techniques. Learning machines come from the world of probability and computer science but are not yet widely used in biomed...