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.

This book provides practical knowledge to clinicians and biomedical researchers using biological and biochemical specimen/samples in order to understand health and disease processes at cellular, clinical, and population levels. Concepts and techniques provided will help researchers design and conduct studies, then translate data from bench to clinics in attempt to improve the health of patients and populations. This book presents the extreme complexity of epidemiologic research in a concise manner that will address the issue of confounders, thus allowing for more valid inferences and yielding results that are more reliable and accurate.

This textbook describes the basics of research in medical, clinical, and biomedical settings as well as the concepts and application of epidemiologic designs in research conduct. Design transcends statistical techniques, and no matter how sophisticated a statistical modeling, errors of design/sampling cannot be corrected. The authors of this textbook have presented a complex field in a very simplified and reader-friendly manner with the intent that such presentation will facilitate the understanding of design process and epidemiologic thinking in clinical and biomedical research. Covers these relevant topics in epidemiology: Case-Cohort Design Prospective Case-Control Quantitative Evidence Synthesis (QES) Instant Cohort Design & Case-Crossover Design Effect Modification & Interaction Epidemiologic Tree - Molecular Epidemiology & Health Disparities Epidemiologic Challenge Big Data, mHealth, Social Media 3 Ts - Team Science, Transdisciplinary Research, Translational Research Bias, Random error, Confounding Systems Science & Evidence Discovery Research is presented as an exercise around measurement, with measurement error inevitable in its conducthence the inherent uncertainties of all findings in clinical and biomedical research. Concise Epidemiologic Principles and Concepts covers research conceptualization, namely research objectives, questions, hypothesis, design, implementation, data collection, analysis, results, and interpretation. While the primary focus of epidemiology is to assess the relationship between exposure (risk or predisposing factor) and outcome (disease or health-related event), causal association is presented in a simplified manner, including the role of quantitative evidence synthesis (meta-analysis) in causal inference. Epidemiology has evolved over the past three decades resulting in several fields being developed. This text presents in brief the perspectives and future of epidemiology in the era of the molecular basis of medicine. With molecular epidemiology, we are better equipped with tools to identify molecular biologic indicators of risk as well as biologic alterations in the early stages of disease.

This balanced and well-integrated text gives a lucid overview of the entire process of genetic epidemiology, from familial aggregation through segregation, likage, and association studies. It is illustrated throughout with examples from the literature on cancer genetics. Statistical concepts are developed in depth, but with a focus on applications. Introductory chapters on molecular biology, Mendelian genetics, epidemiology, statistics, and population genetics are included. Oriented to graduate students in biostatistics, epidemiology, and human genetics, the book will also be a useful reference for researchers. It gives equal emphasis to study designs and data analysis.

Identifying how, why and in whom gastrointestinal disease occurs, and what can be done to prevent it, is of key importance for the modern-day gastroenterologist and researcher. Brought to you by the world’s leading gastroenterologists, the second edition of GI Epidemiology: Diseases and Clinical Methodology is the only book that combines detailed analysis of the epidemiology of GI disease with a study of the methodology of clinical research. With a much greater clinical focus on the diagnostic and management approach for each disease than before, all existing chapters are fully updated with the very latest in statistical and clinical data. In addition, the revised edition contains several significant improvements, notably: • Five extra disease epidemiology chapters: Upper GI Bleeding; Hepatitis B and C; Common Tropical GI Diseases; Nutritional Epidemiology and GI Cancers; and Obesity among Adults • More illustrations, including maps of each disease • A more international focus with the inclusion of two experienced European editors • MCQs, summary checklists and key points throughout • Ten extra online-only chapters on methodological issues related to GI epidemiology such as Patient reported GI Epidemiology: Diseases and Clinical Methodology, 2nd Edition is the perfect reference tool for gastroenterologists involved in both patient management and clinical research, and also for epidemiologists involved specifically in GI disease data and more general epidemiological studies. Titles of Related Interest Yamada’s Handbook of Gastroenterology, 3rd Edition Yamada; ISBN 9780470656204 Essentials of Gastroenterology Friedman; ISBN 9780470656259

"Human Genetics and Genetic Epidemiology" ist der 3. Band aus der sehr erfolgreichen Reihe 'Wiley Biostatistics Reference Series', die auf Artikeln der "Encyclopedia of Biostatistics" basiert. Dieser Band gibt einen topaktuellen und umfassenden Überblick über ein Forschungsgebiet, das insbesondere im Zuge des Human-Genomprojekts eine regelrechte Explosion an Forschungsaktivitäten erlebt hat. Enthalten sind komplett aktualisierte Artikel aus der "Encyclopedia of Biostatistics" sowie über 25% neue Artikel. Mit einem komplexen System an Querverweisen, die das Auffinden der gewünschten Information erheblich erleichtern. Eine interessante Lektüre für Genetiker, Epidemiologen, Biostatistiker und Forscher in diesen Bereichen.

Epidemiology for Public Health Practice is a best-selling text offering comprehensive coverage of all the major topics in introductory epidemiology and alignement to the core competencies in epidemiology for graduate and undergraduate courses. With extensive treatment of the heart of epidemiology—from study designs to descriptive epidemiology to quantitative measures—this reader-friendly text is accessible and interesting to a wide range of beginning students in all health-related disciplines. A unique focus is given to real-world applications of epidemiology and the development of skills that students can apply in subsequent course work and in the field.

The first broad survey of these two fields, this book deleniates a framework for integrating advances in human genetics into public health practice.

Once feared as a deadly intracellular bacterium with the extraordinary capacity to survive a wide array of arduous external stressors, Listeria monocytogenes is increasingly recognized as a preferred vector for delivering anti-infective and anti-cancer vaccine molecules. A reliable, single-source reference on the fundamental aspects of

Presents information from the field of epidemiology in a less technical, more accessible format. Covers major topics in epidemiology, from risk ratios to case-control studies to mediating and moderating variables, and more. Relevant topics from related fields such as biostatistics and health economics are also included.