The Fundamentals of Modern Statistical Genetics, Nan M. Laird; Christoph Lange
Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman Название: The Elements of Statistical Learning ISBN: 0387848576 ISBN-13(EAN): 9780387848570 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.
Автор: Malley Название: Statistical Learning for Biomedical Data ISBN: 0521699096 ISBN-13(EAN): 9780521699099 Издательство: Cambridge Academ Рейтинг: Цена: 6494.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Biomedical researchers need machine learning techniques to make predictions such as survival/death or response to treatment when data sets are large and complex. This highly motivating introduction to these machines explains underlying principles in nontechnical language, using many examples and figures, and connects these new methods to familiar techniques.
Автор: Yang Название: Introduction to Statistical Methods in Modern Genetics ISBN: 9056991345 ISBN-13(EAN): 9789056991340 Издательство: Taylor&Francis Рейтинг: Цена: 19906.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Providing the required background in genetics, this book is useful for those looking to enter this arena. It includes some of the statistical tools important in genetics applications. It contains explanations, figures, and exercise sets in each chapter.
Автор: Jorde, Lynn B. Carey, John C. Bamshad, Michael J. Название: Medical Genetics, 5e ISBN: 0323188354 ISBN-13(EAN): 9780323188357 Издательство: Elsevier Science Рейтинг: Цена: 7957.00 р. Наличие на складе: Поставка под заказ.
Описание: Popular for its highly visual, clinical approach, Medical Genetics delivers an accessible yet thorough understanding of this active and fast-changing field. Key updates in this new edition cover the latest developments which are integrated with clinical practice to emphasize the central principles and how they apply to practice. Photographs, illustrations, and tables, along with boxes containing patient/family vignettes demonstrate clinical relevance and enhance visual impact of the material for easier and more effective learning and retention.
Includes access to the complete text and images online at studentconsult.com along with 200 additional USMLE-style questions for self-assessment. Mini-summaries, study questions, suggested reading, and a detailed glossary supplement and reinforce what you learn from the text. More than 230 photographs, illustrations, and tables, along with patient/family vignettes clarify difficult concepts and demonstrate clinical significance.
Clinical Commentary Boxes help demonstrate how the hard science of genetics has real applications to everyday patient problems and prepare you for problem-based integrated courses. The latest knowledge and research on gene identification, cancer genetics, gene testing and gene therapy, common disorders, ethical and social issues, and much more so you can keep up with current developments in genetics. Student Consult eBook version included with purchase.
This enhanced eBook experience allows access to 200 additional USMLE questions, as well as new materials (outlined above) designed to produce a more rounded learning experience.
Автор: Pierce Benjamin A Название: Genetics Essentials. Concepts and Connections. - 3th ed. ISBN: 1464190755 ISBN-13(EAN): 9781464190759 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Поставка под заказ.
Описание: Derived from Ben Pierce's popular and acclaimed Genetics: A Conceptual Approach, this streamlined text covers basic transmission, molecular, and population genetics.
Автор: Tobias, Edward S. Connor, Michael Smith, Malcolm Ferguson Название: Essential Medical Genetics 6 ed. ISBN: 1405169745 ISBN-13(EAN): 9781405169745 Издательство: Wiley Рейтинг: Цена: 7120.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Adopted at Cambridge University Essential Medical Genetics provides students, clinicians, counsellors and scientists with the up-to-date information they need regarding the basic principles underlying medical genetics.
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: Robert G. Easterling Название: Fundamentals of Statistical Experimental Design and Analysis ISBN: 1118954637 ISBN-13(EAN): 9781118954638 Издательство: Wiley Рейтинг: Цена: 9654.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Professionals in all areas business; government; the physical, life, and social sciences; engineering; medicine, etc. benefit from using statistical experimental design to better understand their worlds and then use that understanding to improve the products, processes, and programs they are responsible for.
Автор: Mauro Naghettini Название: Fundamentals of Statistical Hydrology ISBN: 3319435604 ISBN-13(EAN): 9783319435602 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook covers the main applications of statistical methods in hydrology. It is written for upper undergraduate and graduate students but can be used as a helpful guide for hydrologists, geographers, meteorologists and engineers. The book is very useful for teaching, as it covers the main topics of the subject and contains many worked out examples and proposed exercises. Starting from simple notions of the essential graphical examination of hydrological data, the book gives a complete account of the role that probability considerations must play during modelling, diagnosis of model fit, prediction and evaluating the uncertainty in model predictions, including the essence of Bayesian application in hydrology and statistical methods under nonstationarity.
The book also offers a comprehensive and useful discussion on subjective topics, such as the selection of probability distributions suitable for hydrological variables. On a practical level, it explains MS Excel charting and computing capabilities, demonstrates the use of Winbugs free software to solve Monte Carlo Markov Chain (MCMC) simulations, and gives examples of free R code to solve nonstationary models with nonlinear link functions with climate covariates.
Автор: Turnpenny, Peter D, BSc MB ChB DRCOG DCH FRCP FRCPCH FRCPath FHEA, Professor Ellard, Sian, BSc, PhD, FRCPath, OBE Название: Emery`s Elements of Medical Genetics, 15 Ed. ISBN: 0702066850 ISBN-13(EAN): 9780702066856 Издательство: Elsevier Science Рейтинг: Цена: 6778.00 р. Наличие на складе: Поставка под заказ.
Описание: Everything a student needs to know about medical genetics is here in the 15th edition of this award-winning textbook. Thoroughly updated and revised throughout to map a fast-moving area, the 15th edition continues Emery’s enviable reputation for successfully balancing up-to-dateness in a rapidly developing field with a strong basis in practical clinical genetics for medical students. With MCQs and Case-Based Review Questions, end of chapter summaries and convenient online access, it is the essential tool for this complex but foundational topic for all medical undergraduates, as well as postgraduates seeking to improve their understanding and knowledge.
Автор: Nachtsheim;Neter;Kutner Название: Applied Linear Statistical Models with Student CD ISBN: 0071122214 ISBN-13(EAN): 9780071122214 Издательство: McGraw-Hill Рейтинг: Цена: 9265.00 р. Наличие на складе: Поставка под заказ.
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: Laird Название: The fundamentals of modern statistical genetics ISBN: 1441973370 ISBN-13(EAN): 9781441973375 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendel’s first experiments to genome-wide association studies, the book describes how genetic information can be incorporated into statistical models to discover disease genes. All commonly used approaches in statistical genetics (e.g. aggregation analysis, segregation, linkage analysis, etc), are used, but the focus of the book is modern approaches to association analysis. Numerous examples illustrate key points throughout the text, both of Mendelian and complex genetic disorders. The intended audience is statisticians, biostatisticians, epidemiologists and quantitatively- oriented geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or to pursue research in methodology. A background in intermediate level statistical methods is required. The authors include few mathematical derivations, and the exercises provide problems for students with a broad range of skill levels. No background in genetics is assumed.
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