Understanding Epidemiology: Concepts, Skills, and Applications, Poms Laura Wheeler, Dawson Rebecca Smullin

Автор: D. Celentano, M. Szklo
Название: Gordis Epidemiology - 6th ed.
ISBN: 0323552293 ISBN-13(EAN): 9780323552295
Издательство: Elsevier Science
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Цена: 47150.00 T
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Описание:

From the Department of Epidemiology at Johns Hopkins University and continuing in the tradition of award-winning educator and epidemiologist Dr. Leon Gordis, comes the fully revised 6th Edition of Gordis Epidemiology. This bestselling text provides a solid introduction to basic epidemiologic principles as well as practical applications in public health and clinical practice, highlighted by real-world examples throughout. New coverage includes expanded information on genetic epidemiology, epidemiology and public policy, and ethical and professional issues in epidemiology, providing a strong basis for understanding the role and importance of epidemiology in today's data-driven society.

• Covers the basic principles and concepts of epidemiology in a clear, uniquely memorable way, using a wealth of full-color figures, graphs, charts, and cartoons to help you understand and retain key information.
• Reflects how epidemiology is practiced today, with a new chapter organization progressing from observation and developing hypotheses to data collection and analyses.
• Features new end-of-chapter questions for quick self-assessment, and a glossary of genetic terminology.
• Provides more than 200 additional multiple-choice epidemiology self-assessment questions online.
• Enhanced eBook version included with purchase. Your enhanced eBook allows you to access all of the text, figures, and references from the book on a variety of devices.

Автор: Laura Wheeler Poms, Rebecca Smullin Dawson
Название: Understanding Epidemiology: Concepts, Skills, and Applications
ISBN: 1634870026 ISBN-13(EAN): 9781634870023
Издательство: Mare Nostrum (Eurospan)
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Цена: 66840.00 T
Наличие на складе: Невозможна поставка.
Описание: Understanding Epidemiology teaches students the skills required to think critically about public health problems. The text takes an interdisciplinary approach to solving epidemiological problems that prepares students for real-world applications of the material.Students will learn to read, understand, and apply public health literature, develop research hypotheses and design appropriate epidemiological studies, become intelligent consumers of health information, and make distinctions and connections between public health practice and clinical medicine.The activities and exercises in the text highlight the key concepts and provide students with an understanding of the science of epidemiology.Specifically written for undergraduate students, the book does not assume a working knowledge of biostatistics. Understanding Epidemiology can be used in introductory epidemiology courses, as well as those in public health study design and research methods.

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
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Цена: 60190.00 T
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Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

Автор: Su?rez
Название: Applications of Regression Models in Epidemiology
ISBN: 1119212480 ISBN-13(EAN): 9781119212485
Издательство: Wiley
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Цена: 124550.00 T
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Описание: A one-stop guide for public health students and practitioners learning the applications of classical regression models in epidemiology This book is written for public health professionals and students interested in applying regression models in the field of epidemiology.

Автор: Balakrishnan
Название: Methods and Applications of Statistics in Clinical Trials: Volume 1 - Concepts, Principles, Trials, and Designs
ISBN: 111830473X ISBN-13(EAN): 9781118304730
Издательство: Wiley
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Цена: 190030.00 T
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Описание: This comprehensive book features both new and established material on the key statistical principles and concepts for designing modern-day clinical trials, such as hazard ratio, flexible designs, confounding, covariates, missing data, and longitudinal data.

Автор: Austin Melissa
Название: Genetic Epidemiology
ISBN: 1780641818 ISBN-13(EAN): 9781780641812
Издательство: Marston Book Services
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Цена: 59070.00 T
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Описание: Following an overview of the field, this textbook reviews key genetic concepts, provides an update on relevant genomic technology, and describes methods for assessing the magnitude of genetic influences on diseases and risk factors. It is an essential resource for graduate students in epidemiology and public health genetics.

Автор: Eduardo Massad; Neli Regina Siqueira Ortega; Laeci
Название: Fuzzy Logic in Action: Applications in Epidemiology and Beyond
ISBN: 3642088627 ISBN-13(EAN): 9783642088629
Издательство: Springer
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Цена: 213360.00 T
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Описание: This book marks a paradigm shift in medical science. It explores topics in epidemiology, mathematical modeling and uncertainty within the framework of fuzzy sets and dynamic systems, giving new ways to predict, diagnose and treat various ailments.

Автор: S. M. Niaz Arifin,Gregory R. Madey,Frank H. Collin
Название: Spatial Agent–Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology
ISBN: 1118964357 ISBN-13(EAN): 9781118964354
Издательство: Wiley
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Цена: 113990.00 T
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Описание: Presents an overview of the complex biological systems used within a global public health setting and features a focus on malaria analysis Bridging the gap between agent–based modeling and simulation (ABMS) and geographic information systems (GIS), Spatial Agent–Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology provides a useful introduction to the development of agent–based models (ABMs) by following a conceptual and biological core model of Anopheles gambiae for malaria epidemiology. Using spatial ABMs, the book includes mosquito (vector) control interventions and GIS as two example applications of ABMs, as well as a brief description of epidemiology modeling. In addition, the authors discuss how to most effectively integrate spatial ABMs with a GIS. The book concludes with a combination of knowledge from entomological, epidemiological, simulation–based, and geo–spatial domains in order to identify and analyze relationships between various transmission variables of the disease. Spatial Agent–Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology also features: Location–specific mosquito abundance maps that play an important role in malaria control activities by guiding future resource allocation for malaria control and identifying hotspots for further investigation Discussions on the best modeling practices in an effort to achieve improved efficacy, cost–effectiveness, ecological soundness, and sustainability of vector control for malaria An overview of the various ABMs, GIS, and spatial statistical methods used in entomological and epidemiological studies, as well as the model malaria study A companion website with computer source code and flowcharts of the spatial ABM and a landscape generator tool that can simulate landscapes with varying spatial heterogeneity of different types of resources including aquatic habitats and houses Spatial Agent–Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology is an excellent reference for professionals such as modeling and simulation experts, GIS experts, spatial analysts, mathematicians, statisticians, epidemiologists, health policy makers, as well as researchers and scientists who use, manage, or analyze infectious disease data and/or infectious disease–related projects. The book is also ideal for graduate–level courses in modeling and simulation, bioinformatics, biostatistics, public health and policy, and epidemiology. S. M. Niaz Arifin, PhD, is Research Assistant Professor in the Department of Computer Science and Engineering at the University of Notre Dame.  A member of The Society for Computer Simulation, and American Society of Tropical Medicine and Hygiene, and the recipient of The American Society of Tropical Medicine and Hygiene Travel Award in 2011, his research interests include agent–based modeling and simulation, public health, data warehousing, and geographic information systems.   Gregory R. Madey, PhD, is Research Professor in the Department of Computer Science and Engineering at the University of Notre Dame.  A member of The Society for Computer Simulation, Institute of Electrical and Electronics Engineers Computer Society, and American Society of Tropical Medicine and Hygiene, his research interests include agent–based modeling and simulation, cyberinfrastructure, bioinformatics, biocomplexity, e–Technologies, open source software, disaster management, and health informatics.   Frank H. Collins, PhD, is Professor in the Department of Biological Sciences at the University of Notre Dame.  His research interests include genome level studies of arthropod vectors of human pathogens, the biology of malaria vectors with a focus on the development of molecular tools that will permit better resolution of questions about vector population ec

Автор: Simon George Taukeni
Название: Epidemiological Research Applications for Public Health Measurement and Intervention
ISBN: 1799844145 ISBN-13(EAN): 9781799844143
Издательство: Mare Nostrum (Eurospan)
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Цена: 313230.00 T
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Описание: Different levels in health sciences, in particular public health, have acknowledged the significant role of epidemiology methods for early detection of emerging infections, alert systems, and preparedness interventions. Therefore, it is important to understand how epidemiological research is conducted and how it can be used at various levels to make exposure or incidence data on a general population available. In this, epidemiological research connected to both human and technology interactions is of primary importance.

Epidemiological Research Applications for Public Health Measurement and Intervention provides relevant theoretical frameworks and the latest empirical research findings in the field of epidemiology. The chapters within this essential reference source enhance the knowledge of epidemiological research and measurement to investigate, detect, and monitor emerging pathological infections. While highlighting topics that include the history of epidemiology; the applications of epidemiology; and also the uses, principles, and roles of epidemiology, this book is ideally intended for professionals and researchers working in the field of health sciences in various disciplines and government officials, policymakers, practitioners, stakeholders, researchers, academicians, and students who are interested in epidemiological research and measurement for increasing the effectiveness of public health practice.

Автор: Chen Xinguang, Chen (din) Ding-Geng
Название: Statistical Methods for Global Health and Epidemiology: Principles, Methods and Applications
ISBN: 3030352595 ISBN-13(EAN): 9783030352592
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book examines statistical methods and models used in the fields of global health and epidemiology. It includes methods such as innovative probability sampling, data harmonization and encryption, and advanced descriptive, analytical and monitory methods. Program codes using R are included as well as real data examples. Contemporary global health and epidemiology involves a myriad of medical and health challenges, including inequality of treatment, the HIV/AIDS epidemic and its subsequent control, the flu, cancer, tobacco control, drug use, and environmental pollution. In addition to its vast scales and telescopic perspective; addressing global health concerns often involves examining resource-limited populations with large geographic, socioeconomic diversities. Therefore, advancing global health requires new epidemiological design, new data, and new methods for sampling, data processing, and statistical analysis. This book provides global health researchers with methods that will enable access to and utilization of existing data. Featuring contributions from both epidemiological and biostatistical scholars, this book is a practical resource for researchers, practitioners, and students in solving global health problems in research, education, training, and consultation.