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Essential Statistical Methods for Medical Statistics,, J. Philip Miller


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Автор: J. Philip Miller
Название:  Essential Statistical Methods for Medical Statistics,
Перевод названия: Основные статистические методы для медицинской статистики
ISBN: 9780444537379
Издательство: Elsevier Science
Классификация:


ISBN-10: 0444537376
Обложка/Формат: Hardback
Страницы: 368
Вес: 0.70 кг.
Дата издания: 18.11.2010
Серия: Life Sciences
Язык: English
Иллюстрации: Illustrations
Размер: 231.00 x 155.00 x 23.00
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: Addresses statistical challenges in epidemiological, biomedical, and pharmaceutical research. This book presents methods for assessing Biomarkers, analysis of competing risks. It offers clinical trials including sequential and group sequential, crossover designs, cluster randomized, and adaptive designs.


Essential Statistical Inference

Автор: Boos
Название: Essential Statistical Inference
ISBN: 1461448174 ISBN-13(EAN): 9781461448174
Издательство: Springer
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Цена: 15372.00 р.
Наличие на складе: Поставка под заказ.

Описание: A superb resource on statistical inference for researchers or students, this book has R code throughout, including in sample problems, and an appendix of derived notation and formulae. It covers core topics as well as modern aspects such as M-estimation.

Applied Linear Statistical Models with Student CD

Автор: Nachtsheim;Neter;Kutner
Название: Applied Linear Statistical Models with Student CD
ISBN: 0071122214 ISBN-13(EAN): 9780071122214
Издательство: McGraw-Hill
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Цена: 9265.00 р.
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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.

Data Analysis Using Stata, Third Edition

Автор: Kohler
Название: Data Analysis Using Stata, Third Edition
ISBN: 1597181102 ISBN-13(EAN): 9781597181105
Издательство: Taylor&Francis
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Цена: 11176.00 р.
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Описание:

Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks.

The book is written as a self-study tutorial and organized around examples. It interactively introduces statistical techniques such as data exploration, description, and regression techniques for continuous and binary dependent variables. Step by step, readers move through the entire process of data analysis and in doing so learn the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition includes advanced topics, such as factor-variables notation, average marginal effects, standard errors in complex survey, and multiple imputation in a way, that beginners of both data analysis and Stata can understand.

Using data from a longitudinal study of private households, the authors provide examples from the social sciences that are relatable to researchers from all disciplines. The examples emphasize good statistical practice and reproducible research. Readers are encouraged to download the companion package of datasets to replicate the examples as they work through the book. Each chapter ends with exercises to consolidate acquired skills.

Statistics: A Guide to the Use of Statistical Methods in the Physical Sciences

Автор: Barlow
Название: Statistics: A Guide to the Use of Statistical Methods in the Physical Sciences
ISBN: 0471922951 ISBN-13(EAN): 9780471922957
Издательство: Wiley
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Цена: 6645.00 р.
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Описание: The Manchester Physics Series General Editors: D.J. Sandiford; F. Mandl; A.C. Phillips Department of Physics and Astronomy, University of Manchester Properties of Matter B.H. Flowers and E. Mendoza Optics Second Edition F.G. Smith and J.H. Thomson Statistical Physics Second Edition F. Mandl Electromagnetism Second Edition I.S. Grant and W.R.

Using R for Introductory Statistics, Second Edition

Автор: Verzani
Название: Using R for Introductory Statistics, Second Edition
ISBN: 1466590734 ISBN-13(EAN): 9781466590731
Издательство: Taylor&Francis
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Цена: 9798.00 р.
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Описание:

The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version.

See What's New in the Second Edition:

  • Increased emphasis on more idiomatic R provides a grounding in the functionality of base R.
  • Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible.
  • Use of knitr package makes code easier to read and therefore easier to reason about.
  • Additional information on computer-intensive approaches motivates the traditional approach.
  • Updated examples and data make the information current and topical.

The book has an accompanying package, UsingR, available from CRAN, R's repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text.

The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.

An Introduction to Multivariate Statistical Analysis, Third Edition

Автор: T. W. Anderson
Название: An Introduction to Multivariate Statistical Analysis, Third Edition
ISBN: 0471360910 ISBN-13(EAN): 9780471360919
Издательство: Wiley
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Цена: 27712.00 р.
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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.


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