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Based on the concept of ?conjecture and refutation? from the Popperian philosophy of science, i.e. looking for alternative causes, this book simplifies the design and inferences of human observational studies into two types: descriptive and causal. It clarifies how and why causal inference should be considered from the search for alternative explanations or causes, and descriptive inference from the sample at hand to the source population. Furthermore, it links the health policy and epidemiological concept with decisional questions, for which the basic measurement can be quality-adjusted survival time or quality-adjusted life year.
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.
This text is an easy-to-understand, application-oriented guidebook for learning the basic principles of epidemiologic investigation. Numerous opportunities are presented to apply and test learning through problems and application exercises. Answers are provided.
Epidemiologic Research Principles and Quantitative Methods DavidG. Kleinbaum, Ph.D. Lawrence L. Kupper. Ph.D. Hal Morgenstern,Ph.D. Epidemiologic Research covers the principles and methodsof planning, analysis and interpretation of epidemiologic researchstudies. It supplies the applied researcher with the mostup-to-date methodological thought and practice. Specifically, thebook focuses on quantitative (including statistical) issues arisingfrom epidemiologic investigations, as well as on the questions ofstudy design, measurement and validity. EpidemiologicResearch emphasizes practical techniques, procedures andstrategies. It presents them through a unified approach whichfollows the chronology of issues that arise during theinvestigation of an epidemic. The book's viewpoint ismultidisciplinary and equally useful to the epidemiologicresearcher and to the biostatistician. Theory is supplemented bynumerous examples, exercises and applications. Full solutions aregiven to all exercises in a separate solutions manual. Importantfeatures * Thorough discussion of the methodology of epidemiologicresearch * Stress on validity and hence on reliability * Balanced approach, presenting the most important prevailingviewpoints * Three chapters with applications of mathematical modeling
Now updated with new data and examples throughout, Clinical Epidemiology: Principles, Methods, and Applications for Clinical Research, Second Edition is a comprehensive resource that introduces the reader to the basics of clinical epidemiology and explores the principles and methods that can be used to obtain quantitative evidence on the effects of interventions and on the diagnosis, etiology, and prognosis of disease. The everyday challenges of clinical research and the quantitative knowledge required to practice medicine are also examined, making this book a valuable reference for both graduate and undergraduate students in medicine and related disciplines, as well as for professionals involved in the design and conduct of clinical research.
First edition published in 2002. Second edition published in 2008.
This book covers some of the most novel genetic and genomic concepts in epidemiology, such as geospatial statistics and systems biology from a clinical point of view by explaining molecular applications with accessible human studies. Featuring a comprehensive table of contents, it includes chapters from genomics and epidemiology surveillance to transcriptomics and alternative splicing principles. Across 17 well-organized chapters, this book meets attempt to explain easily to clinicians and students with basic principles of the genetics, genomics, molecular biology and its applications to epidemiology and public health. The text is distinct from other literature on the market because it covers useful genomic tools applied in epidemiology for clinicians who may not be experts in this branch of health science. Principles of Genetics and Molecular Epidemiology demystifies the idea that biomedicine is far from being applied in both epidemiology and clinical practice.
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
Principles and Application of Evidence-Based Public Health Practice helps clinicians who conduct population-based studies in the community be aware of the principles and ethics involved in public health research. Further, the book helps social scientists involved in public health, especially regarding the medical implication of public health practice. Community-based epidemiological research studies are vital for any public health activities, be it evaluation of health programs, health systems strengthening, surveillance or preventive/promotive trials in the community. While hospital/clinic-based research is conducted in a very controlled setting, community trials are more practical. Community-based studies require a fairly different set of ethical and epidemiological principles to be followed. The same has been reiterated in the ethical guidelines for biomedical research on human subjects released by various national research organizations. - Facilitates an in-depth understanding of basic principles of public health practice and its practical application. - Includes the basic principles of public health research and ethics. - Uses case studies to discuss the public health strategies and approaches to be considered during routine day-to-day practice and a public health emergency. - Helps build the capacity of public health practitioners with a futuristic view, including technology-based and precision public health practice.
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.