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Statistics in Toxicology Using R, Hothorn


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Цена: 13779.00р.
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Автор: Hothorn
Название:  Statistics in Toxicology Using R
ISBN: 9781498701273
Издательство: Taylor&Francis
Классификация:

ISBN-10: 1498701272
Обложка/Формат: Hardback
Страницы: 252
Вес: 0.65 кг.
Дата издания: 08.01.2016
Серия: Chapman & hall/crc the r series
Язык: English
Иллюстрации: 115 tables, black and white; 98 illustrations, black and white
Размер: 185 x 261 x 23
Ключевые слова: Probability & statistics, MATHEMATICS / Probability & Statistics / General,MEDICAL / Toxicology
Основная тема: Statistical Theory & Methods
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

The apparent contradiction between statistical significance and biological relevance has diminished the value of statistical methods as a whole in toxicology. Moreover, recommendations for statistical analysis are imprecise in most toxicological guidelines. Addressing these dilemmas, Statistics in Toxicology Using R explains the statistical analysis of selected experimental data in toxicology and presents assay-specific suggestions, such as for the in vitro micronucleus assay.

Mostly focusing on hypothesis testing, the book covers standardized bioassays for chemicals, drugs, and environmental pollutants. It is organized according to selected toxicological assays, including:

  • Short-term repeated toxicity studies
  • Long-term carcinogenicity assays
  • Studies on reproductive toxicity
  • Mutagenicity assays
  • Toxicokinetic studies

The book also discusses proof of safety (particularly in ecotoxicological assays), toxicogenomics, the analysis of interlaboratory studies and the modeling of dose-response relationships for risk assessment. For each toxicological problem, the author describes the statistics involved, matching data example, R code, and outcomes and their interpretation. This approach allows you to select a certain bioassay, identify the specific data structure, run the R code with the data example, understand the test outcome and interpretation, and replace the data set with your own data and run again.




Statistics: Principles and Methods, 7th Edition

Автор: Richard A. Johnson, Gouri K. Bhattacharyya
Название: Statistics: Principles and Methods, 7th Edition
ISBN: 0470904119 ISBN-13(EAN): 9780470904114
Издательство: Wiley
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Цена: 35369.00 р.
Наличие на складе: Поставка под заказ.

Описание: Statistics: Principles and Methods, 7th Edition provides a comprehensive, accurate introduction to statistics for business professionals who need to learn how to apply key concepts. The chapters include real-world data, designed to make the material more relevant. The numerous examples clearly demonstrate the important points of the methods.

Statistics: An Introduction using R

Автор: Michael J. Crawley
Название: Statistics: An Introduction using R
ISBN: 0470022981 ISBN-13(EAN): 9780470022986
Издательство: Wiley
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Цена: 4744.00 р.
Наличие на складе: Поставка под заказ.

Описание: Computer software is an essential tool for many statistical modelling and data analysis techniques, aiding in the implementation of large data sets in order to obtain useful results. R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear modelling. Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Statistical Computing.
*Features step-by-step instructions that assume no mathematics, statistics or programming background, helping the non-statistician to fully understand the methodology.
*Uses a series of realistic examples, developing step-wise from the simplest cases, with the emphasis on checking the assumptions (e.g. constancy of variance and normality of errors) and the adequacy of the model chosen to fit the data.
*The emphasis throughout is on estimation of effect sizes and confidence intervals, rather than on hypothesis testing.
*Covers the full range of statistical techniques likely to be need to analyse the data from research projects, including elementary material like t-tests and chi-squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling.
*Includes numerous worked examples and exercises within each chapter.
Statistics: An Introduction using R is the first text to offer such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology but will also appeal to postgraduates who have not previously covered this area, or wish to switch to using R.

Applied Statistics Using Stata

Автор: Mehmet Mehmetoglu and Tor Georg Jakobsen
Название: Applied Statistics Using Stata
ISBN: 1473913233 ISBN-13(EAN): 9781473913233
Издательство: Sage Publications
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Цена: 5859.00 р.
Наличие на складе: Поставка под заказ.

Описание: Clear, intuitive and written with the social science student in mind, this book represents the ideal combination of statistical theory and practice. It focuses on questions that can be answered using statistics and addresses common themes and problems in a straightforward, easy-to-follow manner. The book carefully combines the conceptual aspects of statistics with detailed technical advice providing both the ‘why’ of statistics and the ‘how’. Built upon a variety of engaging examples from across the social sciences it provides a rich collection of statistical methods and models. Students are encouraged to see the impact of theory whilst simultaneously learning how to manipulate software to meet their needs. The book also provides: Original case studies and data sets Practical guidance on how to run and test models in Stata Downloadable Stata programmes created to work alongside chapters A wide range of detailed applications using Stata Step-by-step notes on writing the relevant code. This excellent text will give anyone doing statistical research in the social sciences the theoretical, technical and applied knowledge needed to succeed.

Applied Statistics in the Pharmaceutical Industry / With Case Studies Using S-PLUS

Автор: Millard Steven P., Krause Andreas
Название: Applied Statistics in the Pharmaceutical Industry / With Case Studies Using S-PLUS
ISBN: 0387988149 ISBN-13(EAN): 9780387988146
Издательство: Springer
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Цена: 21661.00 р.
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Описание: Each year hundreds of new drugs are approved for the marketplace. The approval of a single new drug is the result of years of screening tens of thousands of compounds, performing pre-clinical research on their effects, and designing, implementing, and analyzing the results of clinical trials. This book provides a general guide to statistical methods used in the pharmaceutical industry, and is aimed at graduate students and researchers who want to know more about statistical applications in all phases of the drug development process. The 19 chapters authored by over 30 statisticians working in the industry follow the general sequence of drug development, from pre-clinical research and saftey assessment to dose finding, safety studies, large clinical trials, analysis of health economic data, and fianlly manufacturing and production. Special topics such as single patient analysis and the impact of patient compliance show the broad spectrum of applications of data analysis methods. Each chapter illustrates a practical problem using data from actual studies by describing the study, the data, the methods, and the results. All of the analyses are done with S-PLUS, and the data and code are provided both in appendices to the chapters and on the companion Springer-Verlag web site, making it possible to reproduce the results and extend the analyses. Prior knowledge of the software is not required to follow the analyses. Steven P. Millard is a statistical consultant and also Manager of Consulting Services for MathSoft, Inc. (Data Analysis Products Division.) He has applied statistical methods to projects ranging from quality control in bioassay to measuring water quality to automating home appraisal, and has taught courses in S-PLUS for over 10 years. He is the author of the book Environmental Statistics with S-PLUS (CRC Press) as well as the S-PLUS add-in module ENVIRONMENTALSTATS for S-PLUS. Andreas Krause is a statistical consultant in the pharmaceutical industry and works for Novartis Pharma AG. He has extensive experience in graphical and numerical data analysis as well as programming, has taught numerous classes with and on S-PLUS, and is an S_PLUS user from the early days on. He is also author of the book The Basics of S and S-PLUS (Springer).

Introductory statistics for health and nursing using spss

Автор: Marston, Louise
Название: Introductory statistics for health and nursing using spss
ISBN: 1847874835 ISBN-13(EAN): 9781847874832
Издательство: Sage Publications
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Цена: 8078.00 р.
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Описание: Specifically written for students in the health sciences, this book covers simple statistical concepts and then shows how to analyse data using SPSS.

Choosing and using statistics

Название: Choosing and using statistics
ISBN: 1405198397 ISBN-13(EAN): 9781405198394
Издательство: Wiley
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Цена: 5219.00 р.
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Описание: The third edition of this popular text is ideal for anyone who wants to process data using a statistical package on the computer, to select appropriate methods, and extract the important information from the often confusing output. The text covers how these tests work, and how to perform the calculations involved.

Discovering Statistics Using R

Автор: Field, Andy
Название: Discovering Statistics Using R
ISBN: 1446200469 ISBN-13(EAN): 9781446200469
Издательство: Sage Publications
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Цена: 12830.00 р.
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Описание: The R version of Andy Field`s hugely popular Discovering Statistics Using SPSS takes students on a journey of statistical discovery using the freeware R - a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences.


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