Автор: Dupont, William D. Название: Statistical modeling for biomedical researchers ISBN: 0521614805 ISBN-13(EAN): 9780521614801 Издательство: Cambridge Academ Рейтинг: Цена: 6036 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The new edition of this standard text guides biomedical researchers in the selection and use of advanced statistical methods and the presentation of results to clinical colleagues. It assumes no knowledge of mathematics beyond high school level and is accessible to anyone with an introductory background in statistics. The Stata statistical software package is again used to perform the analyses, this time employing the much improved version 10 with its intuitive point and click as well as character-based commands. Topics covered include linear, logistic and Poisson regression, survival analysis, fixed-effects analysis of variance, and repeated-measure analysis of variance. Restricted cubic splines are used to model non-linear relationships. Each method is introduced in its simplest form and then extended to cover more complex situations. An appendix will help the reader select the most appropriate statistical methods for their data. The text makes extensive use of real data sets available at http://biostat.mc.vanderbilt.edu/dupontwd/wddtext/.
Автор: Malley Название: Statistical Learning for Biomedical Data ISBN: 0521875803 ISBN-13(EAN): 9780521875806 Издательство: Cambridge Academ Рейтинг: Цена: 8535 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: Reflects developments in the following areas: applications in epidemiology; probabilistic and statistical models and methods in reliability; accelerated life models; quality of life; and statistical challenges in genomics. This book is for researchers and practitioners in applied probability and statistics, industrial statistics and biostatistics.
Описание: Discusses the application of statistical techniques to various aspects of modern medical research. This book illustrates how these methods prove to be an indispensable part of proper data collection and analysis. It discusses general concepts and the biomedical problem under focus. It details the associated methods, algorithms, and applications.
Автор: Edited by David J. Kirkland Название: Statistical Evaluation of Mutagenicity Test Data ISBN: 0521048141 ISBN-13(EAN): 9780521048149 Издательство: Cambridge Academ Рейтинг: Цена: 5308 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This rigorous and practical account of the interpretation of mutagenicity test data draws upon the expertise of toxicologists and statisticians. Chemicals, such as drugs, food additives and pesticides, all need careful screening to eliminate potentially mutagenic compounds. Although guidelines exist on the performance of these tests, advice on data evaluation is scarce; this volume provides the statistical background necessary for toxicologists to understand, design and interpret mutagenicity tests. In addition to the nine chapters dealing with the different tests employed, there is an introductory chapter on some of the statistical principles involved, a glossary of useful terms and an appendix providing vital information on the availability of computer software. A large team of contributors and editors working under the auspices of the United Kingdom Environmental Mutagen Society (UKEMS) have contributed a wealth of first-hand experience in compiling this immensely practical book of use to both research and industrial toxicologists.
Описание: Intended to meet the requirements for a single volume which covers methodologies appropriate for the analysis of survival data. Along with guidelines for the planning and design of clinical trials this expanded Second Edition offers a thorough discussion of population lifetables, real life examples, numerous exercises, computer programs for survival data analysis plus an updated reference list which includes a large number of recently published papers.
Описание: Praise for the Third Edition ". . . an easy-to read introduction to survival analysis which covers the major concepts and techniques of the subject." ?— Statistics in Medical Research Updated and expanded to reflect the latest developments, Statistic
Описание: This text provides the necessary concepts and applications for analyzing clustered and correlated data in epidemiologic and medical investigations. This edition features new chapters on normally distributed variables under clustered sampling designs and correlated count data that focuses on over-dispersion. It also expands discussion of repeated measures and longitudinal data and introduces R code for numerous examples. In each chapter, the authors include sample size requirements relevant to the topic being discussed as well as exercises to enhance the understanding of the material covered. An accompanying CD-ROM contains all the data sets in the book along with the SAS and R codes.
Описание: Presents an overview of methods used for investigating the health effects of air pollution and gives examples and case studies in R which demonstrate the application of those methods to real data. The book is suitable for statisticians, epidemiologists, and graduate students working in the area of air pollution and health.
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.
Автор: Walker, Jan Almond, Palo Название: Interpreting statistical findings ISBN: 0335235972 ISBN-13(EAN): 9780335235971 Издательство: McGraw-Hill Рейтинг: Цена: 2716 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is aimed at those studying and working in the field of health care, including nurses and the professions allied to medicine, who have little prior knowledge of statistics but for whom critical review of research is an essential skill.
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