Tag Archives: Epidemiology

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 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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Epidemiology of Drug Abuse

As the drug abuse epidemic evolves, so do the tools needed to understand and treat it. Accordingly, Epidemiology of Drug Abuse takes the long view, cogently outlining what the book calls “the natural history of drug abuse” and redefining its complex phenomena to reflect our present-day knowledge. Twenty-six eminent contributors discuss the state and future of the field, balancing the practical concerns involved in gathering drug abuse data with the ethics of using the information.
– Current thinking on pathways and etiology, as well as medical, psychological, and social sequelae of drug abuse
– Proven, up-to-date methodologies for assessment
– Challenges of gathering data from high-risk and other user populations
– Sampling and application issues
– Uses, sources, and limitations of treatment data
– Analytical papers applying the methodologies to specific and global studies
– The role of epidemiology studies in developing prevention strategies
With this multifaceted approach to the subject, Epidemiology of Drug Abuse provides researchers and educators with a reference that sheds significant light on infrequently covered areas. In addition, its breadth and accessibility of coverage make it a teaching text suitable to courses in epidemiology, public health, and drug abuse.
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The Opioid Epidemic and the Therapeutic Community Model: An Essential Guide

This book aims to explore the evidence supporting the therapeutic community (TC) modality as a uniquely effective approach to care of individuals living with opioid use disorder and other addictions, and also to identify salient mediators of improved outcome, including long-term treatment and removal from the opioid-associated environment. The book includes multiple international perspectives and is designed for worldwide appeal―for countries that have established some TCs with success, those looking to improve care, and those looking to build them for the first time.
Written by experts in addiction psychiatry and medicine, this book describes the unique role of therapeutic communities in treating substance use disorders, how the model has changed over time and adapted to diverse sociocultural contexts and systems of care, and how the TC model may serve an important population in the context of the current opioid epidemic. The chapters are written so as to be accessible for clinicians across specialties and professions.
The Opioid Epidemic and the Therapeutic Community Model is an excellent resource for all professionals interested in diverse and effective models of care to treat opioid use disorder and other addictions, including addiction medicine specialists, psychiatrists, psychologists, rehabilitation administrators, hospitalists, social workers, public health workers, students, and the interested public

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PDQ Epidemiology, 3rd edition

PDQ Epidemiology is an exceptionally clear and highly irreverent review of the important concepts of medical statistics and their impact on public health policy. As the authors note in their preface: “…the role of Epidemiology these days fills the gaping chasm between the scientific wisdom of the wet laboratory and the clinical wisdom of the ward.” By translating the terminology of epidemiology into easy to understand language, the common sense of the methods emerges and makes sense to students. Featuring unique examples, titled Convoluted Reasoning or Anti-intellectual Pomposity Detectors (CRAP Detectors), the text helps the reader identify studies with basic flaws in design or research.
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Applied Longitudinal Data Analysis for Epidemiology: A Practical Guide, 2 edition

This book discusses the most important techniques available for longitudinal data analysis, from simple techniques such as the paired t-test and summary statistics, to more sophisticated ones such as generalized estimating of equations and mixed model analysis. A distinction is made between longitudinal analysis with continuous, dichotomous and categorical outcome variables. The emphasis of the discussion lies in the interpretation and comparison of the results of the different techniques. The second edition includes new chapters on the role of the time variable and presents new features of longitudinal data analysis. Explanations have been clarified where necessary and several chapters have been completely rewritten. The analysis of data from experimental studies and the problem of missing data in longitudinal studies are discussed. Finally, an extensive overview and comparison of different software packages is provided. This practical guide is essential for non-statisticians and researchers working with longitudinal data from epidemiological and clinical studies.

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