Jekel`s Epidemiology, Biostatistics, Preventive Medicine, and Public Health, David L. Katz
Автор: Jekel Название: Epidemiology Biostat Prevent Med 2E ISBN: 0721690793 ISBN-13(EAN): 9780721690797 Издательство: Elsevier Science Цена: 5048 р. Наличие на складе: Невозможна поставка. Описание: This is the only textbook for medical students and public health school students that combines the disciplines of epidemiology, biostatistics, preventive medicine, and public health in one convenient book. Written by renowned experts in the field, this text presents the information you need with a clinical slant using real-life medical examples throughout. Combining all four disciplines in one book creates an integrated approach that shows the interrelationships among these fields and stresses their clinical relevance. In addition to medical and public health school students, this text serves as a source of information for health care professionals who wish to study these topics on their own or to review for medical board examinations. A comprehensive examination including 350 USMLE-style questions with detailed answers and explanations is provided.
Автор: James F Jekel Название: Epidemiology, Biostatistics, And Preventive Medicine ISBN: 141603496X ISBN-13(EAN): 9781416034964 Издательство: Elsevier Science Цена: 4487 р. Наличие на складе: Невозможна поставка. Описание: Brings you knowledge on epidemiology, biostatistics, preventive medicine, and public health. This work covers the healthcare policy and financing infectious diseases chronic disease and disease prevention technology. It also serves as a resource for preparing for the USMLE.
Автор: Gail Dawson Название: Easy Interpretation of Biostatistics ISBN: 1416031421 ISBN-13(EAN): 9781416031420 Издательство: Elsevier Science Рейтинг: Цена: 2711 р. Наличие на складе: Невозможна поставка.
Описание: Presents the key concepts you need to understand biostatistics and how to apply them in clinical medicine. This title includes examples and analogies that explain complex concepts, and practical applications that provide you with real tools for use in daily practice.
Автор: Glantz Название: Primer Of Biostatistics, 7 ed. ISBN: 0071326960 ISBN-13(EAN): 9780071326964 Издательство: McGraw-Hill Рейтинг: Цена: 2410 р. 3443.00-30% Наличие на складе: Есть (1 шт.)
Автор: Glaser, Anthony N. Название: High-Yield Biostatistics, Epidemiology, and Public Health. 4 ed. ISBN: 1451130171 ISBN-13(EAN): 9781451130171 Издательство: Lippincott Williams & Wilkins Рейтинг: Цена: 2775 р. 3083.00-10% Наличие на складе: Есть (1 шт.) Описание: High-Yield™ Biostatistics, Epidemiology, and Public Health, Fourth Edition provides a concise review of the biostatistics concepts that are tested in the USMLE Step 1. Information is presented in an easy-to-follow format, with High-Yield Poi
Описание: Since it first appeared in 1996, the open-source programming language R has become increasingly popular as an environment for statistical analysis and graphical output. This is the first textbook to present classical biostatistical analysis for epidemiology and related public health sciences to students using the R language.
Автор: Rosenberger William F Название: Randomization in Clinical Trials ISBN: 1118742249 ISBN-13(EAN): 9781118742242 Издательство: Wiley Рейтинг: Цена: 10450 р. Наличие на складе: Поставка под заказ.
Описание: Praise for the First Edition: All medical statisticians involved in clinical trials should read this book Controlled Clinical Trials Featuring a unique combination ofthe applied aspects of randomization in clinical trials with a nonparametric approach to inference, Randomization in Clinical Trials: Theory and Practice, Second Edition is the go–to guide for biostatisticians and pharmaceutical industry statisticians. A consolidated review of the field, the Second Edition focuses on computation of randomized tests rather than the asymptotic theory of randomized tests. Randomization in Clinical Trials: Theory and Practice, Second Edition features: A discussion on current philosophies, controversies, and new developments in the increasingly important role of randomization techniques in clinical trials A new chapter on covariate–adjusted response–adaptive randomization, including minimization techniques and inference for covariate–adaptive randomization New developments in restricted randomization and an increased focus on computation of randomization tests as opposed to the asymptotic theory of randomization tests Many problem sets, theoretical exercises, and short computer simulations using SAS® to facilitate classroom teaching, to simplify the mathematics, and to ease understanding Randomization in Clinical Trials: Theory and Practice, Second Edition is an excellent reference for researchers as well as applied statisticians and biostatisticians. The Second Edition is also an ideal textbook for upper–undergraduate and graduate–level courses in biostatistics and applied statistics. William F. Rosenberger, PhD, is University Professor and Chairman of the Department of Statistics at George Mason University. He is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics, and author of over 80 refereed journal articles and The Theory of Response–Adaptive Randomization in Clinical Trials, also published by Wiley. John M. Lachin, ScD, is Research Professor in the Department of Epidemiology and Biostatistics as well as the Department of Statistics at The George Washington University. He is a fellow of the American Statistical Association and the Society for Clinical Trials and is actively involved in coordinating center activities for clinical trials of diabetes. He is the author of Biostatistical Methods: The Assessment of Relative Risks, Second Edition, also published by Wiley.
Автор: Margaret Somerville,Kumaran Kalyanarama,Rob Anders Название: Public Health and Epidemiology at a Glance ISBN: 1118999320 ISBN-13(EAN): 9781118999325 Издательство: Wiley Рейтинг: Цена: 2925 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Public Health and Epidemiology at a Glance is a highly visual introduction to the key concepts and major themes of population health. With comprehensive coverage of all the core topics covered at medical school, it helps students understand the determinants of health and their study, from personal lifestyle choices and behaviour, to environmental, social and economic factors. This fully updated new edition features: More coverage of audit and quality improvement techniques Brand new sections on maternal and child health, and health of older people New chapters on social determinants of health and guideline development Expanded self–assessment material This accessible guide is an invaluable resource for medical and healthcare students, junior doctors, and those preparing for a career in epidemiology and public health.
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: Kestenbaum Название: Epidemiology and Biostatistics ISBN: 0387884327 ISBN-13(EAN): 9780387884325 Издательство: Springer Рейтинг: Цена: 7199 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents students and other health professionals with the knowledge necessary to interpret clinical research articles, design clinical studies, and learn essential epidemiological concepts. This text provides fundamental concepts in a format suitable for students with no background in epidemiology or statistics.
Описание: This is the ideal resource to review biostatistics and epidemiology for the USMLE Steps 1 and 2. Each chapter presents a case study, an explanation of the material and ends with a summary and review questions.
Автор: Robert Nordness Название: Epidemiology and Biostatistics Secrets ISBN: 0323034063 ISBN-13(EAN): 9780323034067 Издательство: Elsevier Science Рейтинг: Цена: 2991 р. Наличие на складе: Невозможна поставка.
Описание: Features a two-color page layout, a portable size, and a list of the Top 100 Secrets in biostatistics and epidemiology. This volume also includes a question-and-answer format, lists, mnemonics, and tables. It has the answers in print and online.
Автор: Ahlbom Название: Biostatistics for Epidemiologists ISBN: 0873719123 ISBN-13(EAN): 9780873719124 Издательство: Taylor&Francis Рейтинг: Цена: р. Наличие на складе: Поставка под заказ.
Описание: Features a collection of methods that can be used to analyze data in most epidemiological studies. This work examines the theoretical background of the methods described and discusses general principles that apply to the analysis of epidemiological data. It is suitable for for epidemiologists and public health professionals.
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