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Category Archives: Epidemiology
Encyclopedia of Epidemiology
The Encyclopedia of Epidemiology presents state-of-the-art information from the field of epidemiology in a less technical and accessible style and format. With more than 600 entries, no single reference provides as comprehensive a resource in as focused and appropriate manner. The entries cover every major facet of epidemiology, from risk ratios to case-control studies to mediating and moderating variables, and much more. Relevant topics from related fields such as biostatistics and health economics are also included.
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Teaching Epidemiology: A guide for teachers in epidemiology, public health and clinical medicine
Teaching epidemiology requires skill and knowledge, combined with a clear teaching strategy and good pedagogic skills. The general advice is simple: if you are not an expert on a topic, try to enrich your background knowledge before you start teaching. The new edition of Teaching Epidemiology helps you to do this and, by providing world-expert teachers’ advice on how best to structure teaching, providing a unique insight into what has worked in their hands. This book will help you to tailor your own epidemiology teaching programme.
The fourth edition of this established text has been fully revised and updated, drawing on new research findings and recently developed methods including research technologies in genetic epidemiology and method development in relation to causal analysis. Analytical tools provide teachers in the field with the skills to guide students at both undergraduate and postgraduate levels. Each chapter in Teaching Epidemiology comprises key concepts in epidemiology, subject specific methodologies, and disease specific issues, to provide expert assistance in the teaching of a wide range of epidemiology courses.
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Epidemiology: Study Design and Data Analysis, Third Edition
Highly praised for its broad, practical coverage, the second edition of this popular text incorporated the major statistical models and issues relevant to epidemiological studies. Epidemiology: Study Design and Data Analysis, Third Edition continues to focus on the quantitative aspects of epidemiological research. Updated and expanded, this edition shows students how statistical principles and techniques can help solve epidemiological problems.
New to the Third Edition
– New chapter on risk scores and clinical decision rules
– New chapter on computer-intensive methods, including the bootstrap, permutation tests, and missing value imputation
– New sections on binomial regression models, competing risk, information criteria, propensity scoring, and splines
– Many more exercises and examples using both Stata and SAS
– More than 60 new figures
After introducing study design and reviewing all the standard methods, this self-contained book takes students through analytical methods for both general and specific epidemiological study designs, including cohort, case-control, and intervention studies. In addition to classical methods, it now covers modern methods that exploit the enormous power of contemporary computers. The book also addresses the problem of determining the appropriate size for a study, discusses statistical modeling in epidemiology, covers methods for comparing and summarizing the evidence from several studies, and explains how to use statistical models in risk forecasting and assessing new biomarkers. The author illustrates the techniques with numerous real-world examples and interprets results in a practical way. He also includes an extensive list of references for further reading along with exercises to reinforce understanding.
Web Resource
A wealth of supporting material can be downloaded from the book’s CRC Press web page, including:
– Real-life data sets used in the text
– SAS and Stata programs used for examples in the text
– SAS and Stata programs for special techniques covered
– Sample size spreadsheet
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Veterinary Clinical Epidemiology
While veterinary medicine has always valued the concepts and methods of epidemiology, they are virtually inseparable in today’s clinical practice. With access to an ever-expanding number of journals, as well as countless Internet sources, more and more veterinarians are practicing evidence-based medicine. This is defined as the process of systematically finding, appraising, and adopting research findings as the primary basis for clinical decisions.
“An underlying premise of the book is that patient-based research is epidemiologic research….It logically follows that the users of this information, veterinary students and practitioners, be skilled in its application to patient care.”
– from the preface
Veterinary Clinical Epidemiology, Third Edition focuses on developing a deeper understanding of epidemiology and exemplifies how an improved capacity for interpreting and critiquing available literature ultimately leads to improved patient care. In preparing this edition, Ronald Smith, a highly respected epidemiologist, practitioner, and educator, has entirely updated his earlier work to reflect those changes that have dramatically altered the practice of veterinary medicine over the last ten years.
New to the third edition:
· Numerous updated examples of the application of epidemiology in clinical practice
· Expanded journal representation to include a larger selection of international research
· Increased coverage of hypothesis testing, survey design, sampling and epidemiologic conceptsrelated to the practice of evidence-based medicine
· Revised and updated information on diagnostic testing, risk assessment, causality, and the use of statistics
Veterinary Clinical Epidemiology, Third Edition provides practitioners and researchers with the knowledge and tools to understand, critically assess, and make use of the medical literature that is vital to the treatment of animal patients.
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Epidemiology by Design : A Causal Approach to the Health Sciences
Epidemiology is recognized as the science of public health, evidence-based medicine, and comparative effectiveness research. Causal inference is the theoretical foundation underlying all of the above. No introduction to epidemiology is complete without extensive discussion of causal inference; what’s missing is a textbook that takes such an approach.
Epidemiology by Design takes a causal approach to the foundations of traditional introductory epidemiology. Through an organizing principle of study designs, it teaches epidemiology through modern causal inference approaches, including potential outcomes, counterfactuals, and causal identification conditions.
Coverage in this textbook includes:
· Introduction to measures of prevalence and incidence (survival curves, risks, rates, odds) and measures of contrast (differences, ratios); the fundamentals of causal inference; and principles of diagnostic testing, screening, and surveillance
· Description of three key study designs through the lens of causal inference: randomized trials, prospective observational cohort studies, and case-control studies
· Discussion of internal validity (within a sample), external validity, and population impact: the foundations of an epidemiologic approach to implementation science
For first-year graduate students and advanced undergraduates in epidemiology and public health fields more broadly, Epidemiology by Design offers a rigorous foundation in epidemiologic methods and an introduction to methods and thinking in causal inference. This new textbook will serve as a foundation not just for further study of the field, but as a head start on where the field is going.
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Veterinary Epidemiologic Research
This is an extremely ambitious text that considerably extends the scope of material covered by other epidemiological texts. The goal of the authors is to provide a focus on both design and analytical issues in epidemiology. The text is directed at a postgraduate student level, but there is much that is pertinent to undergraduates and ample for to those interested in epidemiology, study design and data analysis. There are 28 Chapters which include an Introduction and Causal Concepts, Sampling, Questionaire Design, Measures of Disease Frequency, Screening and Diagnostic Tests and Measures of Association. Chapters on study design include an Introduction to Observational Studies, Cohort Studies, Case-Control Studies, Hybrid Study Designs, Controlled Trials and Validity in Observational Studies. The analytical chapters are extensive and cover Confounding Bias, Analytic Control and Matching, Linear Regression, Logistic Regression, and Modelling Multinomial Data, Count and Rate Data and Survival Data. There are chapters on clustered data and the methods for modelling these, including mixed models and Bayesian analysis. There are chapters on Meta-analysis, and approaches to model building and data analysis. While other texts provide more depth on all these topics, relevant texts are referenced. Strengths of this book are the examples provided and the appropriateness and currency of the references to which readers are directed. Many of the case examples and data sets are derived from recent published papers or obtained from the authors of the papers.
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Essential Epidemiology
Taking a practical approach and supported by global examples from all areas of health, the new edition of this popular and highly commended textbook has been updated to reflect current epidemiological thinking and teaching. Based on feedback from teachers and students, material has been reordered to better suit courses and reflect the underlying logic and purpose of epidemiology. • Provides students with a rounded picture of the field by emphasizing the commonalities across different areas of epidemiology, including clinical epidemiology, and highlighting the key role of epidemiology in public health • Avoids complex mathematics by restricting this to optional material, thereby keeping the book accessible to students from non-quantitative backgrounds • Integrated and supplementary questions help students to reinforce concepts • A wealth of online material is available at www.cambridge.org/essential_epidemiology, including additional questions, advanced material for key concepts, recommendations for further reading, links to useful websites and slides for teaching, supporting both students and teachers.
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The Childhood Obesity Epidemic: Why Are Our Children ObeseAnd What Can We Do About It?
Child obesity is a serious condition that affects children around the world in growing numbers. With obesity comes an increased risk of other chronic diseases as well, making it even more important to understand and treat this condition from a variety of angles. This current volume seeks to understand the phenomenon of child obesity and presents a range of viewpoints on its prevalence, causes, and treatments. The different sections contained within explore the following topics:
• The worldwide prevalence of childhood obesity and its growing effect on children
• The causes of childhood obesity and the complex interactions of genetic, environmental, social, and medical factors that contribute to its development
• Proposed treatments, some intervention-based and others that aim to change how food is marketed and sold to youth
This reference volume offers a comprehensive and thorough guide to a field that is rapidly expanding and points to new directions in research and public policy. Edited by a doctor with extensive experience as a researcher, writer, and medical practitioner, The Childhood Obesity Epidemic is an authoritative and easy-to-use reference that provides resources for researchers in the field, students, and anyone who wishes to gain an overview to this important field of study.
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Evidence-Based Diagnosis: An Introduction to Clinical Epidemiology
Medicine is becoming increasingly reliant on diagnostic, prognostic and screening tests for the successful treatment of patients. With new tests being developed all the time, a more informed understanding of the benefits and drawbacks of these tests is crucial. Providing readers with the tools needed to evaluate and interpret these tests, numerous real-world examples demonstrate the practical application and relevance of the material. The mathematics involved are rigorously explained using simple and informative language. Topics covered include the diagnostic process, reliability and accuracy of tests, and quantifying treatment benefits using randomized trials, amongst others. Engaging illustrations act as visual representations of the concepts discussed in the book, complementing the textual explanation. Based on decades of experience teaching in a clinical research training program, this fully updated second edition is an essential guide for anyone looking to select, develop or market medical tests.
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