Описание: Now in its Fifth Edition, Clinical Epidemiology: The Essentials is a comprehensive, concise, and clinically oriented introduction to the subject of epidemiology. Written by expert educators, this text introduces students to the principles of evidence-based medicine that will help them develop and apply methods of clinical observation in order to form accurate conclusions. The Fifth Edition includes more complete coverage of systematic reviews and knowledge management, as well as other key topics such as abnormality, diagnosis, frequency and risk, prognosis, treatment, prevention, chance, studying cases and cause.
Автор: Ward, Helen; Toledano, Mireille; Elliott, Paul Название: Oxford Handbook of Epidemiology for Clinicians ISBN: 0198529880 ISBN-13(EAN): 9780198529880 Издательство: Oxford Academ Рейтинг: Цена: 3795 р. Наличие на складе: Есть (1 шт.) Описание: The Oxford Handbook of Epidemiology for Clinicians provides all the information required by students and junior doctors who need to understand and translate key epidemiological concepts into medical practice. Unlike standard textbooks in this area, the focus throughout is on clinical applications of epidemiological knowledge. Divided into four sections, the handbook begins with the basics of epidemiology in the clinic, moving on to the theories behind evidence-based practice, discussions of optimum methods and studies, and then ends by looking at the epidemiology of common diseases. The material is presented in a logical manner, from problems to the most appropriate solutions or tools to be applied. Interesting topics such as controversies in prevention intervention encourage discussion and thought, and the authors pose sensible and important questions throughout. This handbook is a must for all junior doctors, medical students, and clinicians who need to apply epidemiological conce
Автор: Leon Gordis Название: Epidemiology, 5th Edition ISBN: 145573733X ISBN-13(EAN): 9781455737338 Издательство: Elsevier Science Рейтинг: Цена: 4597 р. Наличие на складе: Невозможна поставка.
Описание: Guides you from an explanation of the epidemiologic approach to disease and intervention, through the use of epidemiologic principles to identify the causes of disease, to a discussion of how epidemiology should be used to improve evaluation and public policy.
Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.
Автор: Plichta Название: Munros Statistical methods health care 6E ISBN: 1451187947 ISBN-13(EAN): 9781451187946 Издательство: Lippincott Williams & Wilkins Рейтинг: Цена: 7623 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text provides students with a solid foundation for understanding data analysis and specific statistical techniques. Focusing on the most current and frequently used statistical methods in today's health care literature, the book covers essential material for a variety of program levels including in-depth courses beyond the basic statistics course. Well-organized, clear text discussions and great learning tools help students overcome the complexities and fully comprehend the concepts of this often intimidating area of study.
Описание: This book touches upon all major areas in the field of ecology and covers a wide range of topics. Beginning with classical mathematical models for population dynamics and their use in population management and harvesting, it covers the traditional as well as the most recent nonstandard methods of abundance estimation. The recent interest in the study of biodiversity is discussed at length. The last chapter on models for animal and plant behaviour is perhaps the first attempt to put the two together. Many exercises, theoretical as well as data analytical, which reflect authors' interaction with practicing field ecologists, make the book very useful for class room teaching and private study. Audience: This volume is intended as a text book for a one semester course for advanced undergraduate and graduate classes in statistics, mathematics of biology, or quantitative ecology.
Описание: This volume contains extended versions of 28 carefully selected and reviewed papers presented at The Fourth International Conference on Mathematical
Methods in Reliability in Santa Fe, New Mexico, June 21-25, 2004, the leading conference in reliability research. The meeting serves as a forum for discussing fundamental issues on
mathematical methods in reliability theory and its applications. A broad overview
of current research activities in reliability theory and its applications is provided with coverage on reliability modelling, network and system reliability, Bayesian methods, survival analysis,
degradation and maintenance modelling, and software reliability.
The contributors are all leading experts in the field and include the plenary session speakers, Tim Bedford,
Thierry Duchesne, Henry Wynn, Vicki Bier, Edsel Pena, Michael Hamada, and Todd Graves.
Описание: "Applied Linear Statistical Models", 5e, is the long established leading authoritative text and reference on statistical modeling. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Notes" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in virtually any college. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.
Автор: Webb Название: Essential Epidemiology ISBN: 0521177316 ISBN-13(EAN): 9780521177313 Издательство: Cambridge Academ Рейтинг: Цена: 4255 р. Наличие на складе: Невозможна поставка.
Описание: The new edition of this popular textbook remains a clear and practical introduction to epidemiology for students in all areas of health. By emphasising the role of epidemiology across a broad range of health monitoring and research, it gives students an understanding of the fundamental principles common to all areas of epidemiology. It also integrates the study of infectious and chronic diseases as well as public health and clinical epidemiology. Avoiding complex mathematics, it steps through the methods and potential problems underlying health data and reports, while maintaining a balance of rigour and clarity. The nuts-and-bolts of epidemiology are embedded in the wider international health perspective through recent and classical examples across different areas of health to engage students from a range of backgrounds. Concepts are illustrated with charts and graphs, and end-of-chapter questions test understanding (with answers provided). Online resources include further exercises, slides for teaching and useful weblinks.
Автор: Malley Название: Statistical Learning for Biomedical Data ISBN: 0521699096 ISBN-13(EAN): 9780521699099 Издательство: Cambridge Academ Рейтинг: Цена: 4025 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is for anyone who has biomedical data and needs to identify variables that predict an outcome, for two-group outcomes such as tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction problems, especially if the variables being studied may not meet the assumptions of traditional techniques. Learning machines come from the world of probability and computer science but are not yet widely used in biomedical research. This introduction brings learning machine techniques to the biomedical world in an accessible way, explaining the underlying principles in nontechnical language and using extensive examples and figures. The authors connect these new methods to familiar techniques by showing how to use the learning machine models to generate smaller, more easily interpretable traditional models. Coverage includes single decision trees, multiple-tree techniques such as Random Forests™, neural nets, support vector machines, nearest neighbors and boosting.
Описание: This volume contains refereed papers by participants in the two weeks on Clinical Trials and one week on Epidemiology and the Environment held as part of
the six weeks workshop on Statistics in the Health Sciences Applications at the Institute for Mathematics and its Applications (IMA) in the summer of 1997. Donald Berry was in charge
of the weeks on clinical trials, and Elizabeth Halloran organized the week on epidemiology and the environment. The collection includes a major contribution from Jamie Robins, Andrea
Rotnitzky, and Daniel Scharfstein on sensitivity analysis for selection bias and unmeasured confounding in missing data and causal and inference models.
In another paper,
Jamie Robins prese
ts a new class of causal models called marginal structural models. Alan Hubbard, Mark van der Laan, and Jamie Robins present a methodology for consistent and efficient estimation of
treatment-specific survival functions in observational settings. Brian Leroux, Xingye Lei, and Norman Breslow present a new mixed model for spatial dependence for estimating disease
rates in small areas.
Andrew Lawson and Allan Clark demonstrate Markov Chain Monte Carlo methods for clustering in spatial epidemiology. Colin Chen, David Chock, and
Sandra Winkler present a simulation study examining confounding in estimation of the epidemiologic effect of air pollution. Dalene Stangl discusses issues in the use of reference priors
and Bayes factors in analyzing clinical trials.
Stephen George reviews the role of surrogate endpoints in cancer clinical trials.
Автор: Thomas, Duncan C. Название: Statistical Methods in Genetic Epidemiology ISBN: 019515939X ISBN-13(EAN): 9780195159394 Издательство: Oxford Academ Рейтинг: Цена: 7823 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
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