Автор: Malley Название: Statistical Learning for Biomedical Data ISBN: 0521875803 ISBN-13(EAN): 9780521875806 Издательство: Cambridge Academ Рейтинг: Цена: 9433 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 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.
Автор: Walker, Jan Almond, Palo Название: Interpreting statistical findings ISBN: 0335235972 ISBN-13(EAN): 9780335235971 Издательство: McGraw-Hill Рейтинг: Цена: 3002 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.
Автор: Cox Название: Principles of Statistical Inference ISBN: 0521866731 ISBN-13(EAN): 9780521866736 Издательство: Cambridge Academ Рейтинг: Цена: 8283 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The comprehensive, balanced account of the theory of statistical inference, its main ideas and controversies.
Описание: This book is intended as a primary resource for graduate students and researchers working in the field of infectious disease epidemiology. This collection of
contributions presents deterministic and stochastic approaches for epidemic modelling and statistical inference of epidemiological parameters including the real time assessment of the
transmission potential of infectious diseases, issues related to the sensitivity of model assumptions, the us
of historical archives as valuable sources of epidemiological information, modeling of vaccination programs and relapse, statistical challenges in bio surveillance, approaches for the
spatial and temporal analysis of disease time series, quantification of parameter uncertainty and methodologies for sensitivity analysis. Methods and tools are illustrated with simulated
and real datasets such as the 1918 influenza pandemic in Winnipeg, Canada, the 1968 influenza pandemic in US cities, Severe Acute Respiratory Syndrome (SARS), the 2005 Marburg
fever outbreak in Angola, rubella epidemics in Peru, rotavirus in Mexico and pneumococcal disease in Australia.
Описание: A systematic treatment of the statistical challenges that arise in environmental health studies and the use epidemiologic data in formulating public policy, at a level suitable for graduate students and epidemiologic researchers.
Описание: Statistical Monitoring of Clinical Trials: Fundamentals for Investigators introduces the investigator and statistician to monitoring procedures in clinical research. Clearly presenting the necessary background with limited use of mathematics, this book increases the knowledge, experience, and intuition of investigations in the use of these important procedures now required by the many clinical research efforts. The author provides motivated clinical investigators the background, correct use, and interpretation of these monitoring procedures at an elementary statistical level. He defines terms commonly used such as group sequential procedures and stochastic curtailment in non-mathematical language and discusses the commonly used procedures of Pocock, OвЂ™BrienвЂ“Fleming, and LanвЂ“DeMets. He discusses the notions of conditional power, monitoring for safety and futility, and monitoring multiple endpoints in the study. The use of monitoring clinical trials is introduced in the context of the evolution of clinical research and one chapter is devoted to the more recent Bayesian procedures. From the reviews:"The author has a wealth of experience in this area and this is demonstrated throughout the text with relevant poignant examples." Short Book Reviews of the ISI, June 2006
Автор: Dupont, William D. Название: Statistical modeling for biomedical researchers ISBN: 0521614805 ISBN-13(EAN): 9780521614801 Издательство: Cambridge Academ Рейтинг: Цена: 6901 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/.
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: 5982 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.
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