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Introduction to Data Technologies, Murrell


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Цена: 11482.00р.
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Автор: Murrell
Название:  Introduction to Data Technologies
ISBN: 9781138118027
Издательство: Taylor&Francis
Классификация:



ISBN-10: 1138118028
Обложка/Формат: Paperback
Страницы: 418
Вес: 0.83 кг.
Дата издания: 31.05.2017
Серия: Chapman & hall/crc computer science & data analysis
Язык: English
Иллюстрации: 5 tables, black and white; 179 illustrations, black and white
Размер: 235 x 156
Читательская аудитория: Professional & vocational
Ключевые слова: Epidemiology & medical statistics, COMPUTERS / Databases / General,COMPUTERS / Databases / Data Mining,MATHEMATICS / Probability & Statistics / General
Основная тема: Medical Statistics & Computing
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

Providing key information on how to work with research data, Introduction to Data Technologies presents ideas and techniques for performing critical, behind-the-scenes tasks that take up so much time and effort yet typically receive little attention in formal education. With a focus on computational tools, the book shows readers how to improve their awareness of what tasks can be achieved and describes the correct approach to perform these tasks.

Practical examples demonstrate the most important points
The author first discusses how to write computer code using HTML as a concrete example. He then covers a variety of data storage topics, including different file formats, XML, and the structure and design issues of relational databases. After illustrating how to extract data from a relational database using SQL, the book presents tools and techniques for searching, sorting, tabulating, and manipulating data. It also introduces some very basic programming concepts as well as the R language for statistical computing. Each of these topics has supporting chapters that offer reference material on HTML, CSS, XML, DTD, SQL, R, and regular expressions.

One-stop shop of introductory computing information
Written by a member of the R Development Core Team, this resource shows readers how to apply data technologies to tasks within a research setting. Collecting material otherwise scattered across many books and the web, it explores how to publish information via the web, how to access information stored in different formats, and how to write small programs to automate simple, repetitive tasks.




Epidemiology: A Very Short Introduction

Автор: Saracci Rodolfo
Название: Epidemiology: A Very Short Introduction
ISBN: 019954333X ISBN-13(EAN): 9780199543335
Издательство: Oxford Academ
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Цена: 1582.00 р.
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Описание: Epidemiology is the study of the changing patterns of disease. It is a vital field, central to the health of society, to the identification of causes of disease, and to their management and prevention. This Very Short Introduction dispels some of the myths relating to clinical trials, vaccination campaigns, and statistics concerning disease.

An Introduction to Infectious Disease Modelling (Paperback)

Автор: Vynnycky, Emilia; White, Richard
Название: An Introduction to Infectious Disease Modelling (Paperback)
ISBN: 0198565763 ISBN-13(EAN): 9780198565765
Издательство: Oxford Academ
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Цена: 6968.00 р.
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Описание: This book will provide public health and infectious disease researchers with the tools to use and critically evaluate the mathematical models that are increasingly being used to interpret and predict the dynamics and control of infectious diseases.

An introduction to public health and epidemiology

Автор: Susan Carr , Nigel Unwin, Tanja Pless-Mulloli
Название: An introduction to public health and epidemiology
ISBN: 0335216242 ISBN-13(EAN): 9780335216246
Издательство: McGraw-Hill
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Цена: 4803.00 р.
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Описание: This book provides a multi-professional introduction to the key concepts in public health and epidemiology. It presents a broad, interactive account of contemporary public health, placing an emphasis on developing public health skills and stimulating the reader to think through the issues for themselves.

Vital statistics: An introduction to health science statistics

Автор: Stephen McKenzie
Название: Vital statistics: An introduction to health science statistics
ISBN: 0729541495 ISBN-13(EAN): 9780729541497
Издательство: Elsevier Science
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Цена: 4841.00 р.
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Описание:

Vital Statistics: an introduction to health science statistics is a new Australian publication. This textbook draws on real world, health-related and local examples, with a broad appeal to the Health Sciences student. It demonstrates how an understanding of statistics is useful both in the real world, and in statistics exams.

Vital Statistics: an introduction to health science statistics is a relatively small and easy-to-read book that will painlessly introduce or re-introduce you to the statistical basics before guiding you through more demanding statistical challenges.

Written in recognition of Health Sciences courses which require knowledge of statistical literacy, this book guides the reader to an understanding of why, as well as how and when to use statistics.

It explores:

  • How data relates to information, and how information relates to knowledge
  • How to use statistics to distinguish information from disinformation
  • The importance of probability, in statistics and in life
  • That inferential statistics allow us to infer from samples to populations, and how useful such inferences can be
  • How to appropriately apply and interpret statistical measures of difference and association
  • How qualitative and quantitative methods differ, and when it's appropriate to use each
  • The special statistical needs of the health sciences, and some especially health science relevant statistics
  • The vital importance of computers in the statistical analysis of data, and gives an overview of the most commonly used analyses

From the Foreword "Students of health sciences are commonly required to have a basic understanding of statistics. For the more mathematically inclined, this will be easily acquired and there are many existing textbooks that will serve their needs well. However, for others learning about statistics will be an onerous task that may not seem directly relevant to their goal of becoming a health practitioner. To make statistics interesting, relevant and accessible for these students is a continuing challenge for their teachers. Having a suitable textbook that can motivate, inspire and explain complex concepts in plain language would be a big help. This new book by the McKenzie brothers does just that. It reflects many years of experience in explaining statistics to students and practitioners.I hope and expect that this new textbook will infect many health science students with the authors' obvious love of the topic and lead them to want to learn more. In particular, I hope that they see the value of statistics to evidence-based professional practice and become better practitioners as a consequence.? Anthony Jorm PhD DSc, Professorial Fellow, Melbourne School of Population Health, University of Melbourne, VIC

Epidemiology Kept Simple: An Introduction to Traditional and Modern Epidemiology, 3rd Edition

Автор: Gerstman
Название: Epidemiology Kept Simple: An Introduction to Traditional and Modern Epidemiology, 3rd Edition
ISBN: 1444336088 ISBN-13(EAN): 9781444336085
Издательство: Wiley
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Цена: 8546.00 р.
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Описание: Epidemiology Kept Simple introduces the epidemiological principles and methods that are increasingly important in the practice of medicine and public health. With minimum use of technical language it fully explains terminology, concepts, and techniques associated with traditional and modern epidemiology.

Introduction to Statistical Data Analysis for the Life Sciences, Second Edition

Автор: Ekstrom
Название: Introduction to Statistical Data Analysis for the Life Sciences, Second Edition
ISBN: 1482238934 ISBN-13(EAN): 9781482238938
Издательство: Taylor&Francis
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Цена: 9798.00 р.
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Описание:

A Hands-On Approach to Teaching Introductory Statistics

Expanded with over 100 more pages, Introduction to Statistical Data Analysis for the Life Sciences, Second Edition presents the right balance of data examples, statistical theory, and computing to teach introductory statistics to students in the life sciences. This popular textbook covers the mathematics underlying classical statistical analysis, the modeling aspects of statistical analysis and the biological interpretation of results, and the application of statistical software in analyzing real-world problems and datasets.

New to the Second Edition

  • A new chapter on non-linear regression models
  • A new chapter that contains examples of complete data analyses, illustrating how a full-fledged statistical analysis is undertaken
  • Additional exercises in most chapters
  • A summary of statistical formulas related to the specific designs used to teach the statistical concepts

This text provides a computational toolbox that enables students to analyze real datasets and gain the confidence and skills to undertake more sophisticated analyses. Although accessible with any statistical software, the text encourages a reliance on R. For those new to R, an introduction to the software is available in an appendix. The book also includes end-of-chapter exercises as well as an entire chapter of case exercises that help students apply their knowledge to larger datasets and learn more about approaches specific to the life sciences.

Introduction to the New Statistics

Автор: Cumming, Geoff.
Название: Introduction to the New Statistics
ISBN: 1138825522 ISBN-13(EAN): 9781138825529
Издательство: Taylor&Francis
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Цена: 9951.00 р.
Наличие на складе: Поставка под заказ.

Описание: This is the first introductory statistics text to use an estimation approach from the start to help readers understand effect sizes, confidence intervals (CIs), and meta-analysis (‘the new statistics’). It is also the first text to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research. In addition, the book explains NHST fully so students can understand published research. Numerous real research examples are used throughout. The book uses today’s most effective learning strategies and promotes critical thinking, comprehension, and retention, to deepen users’ understanding of statistics and modern research methods. The free ESCI (Exploratory Software for Confidence Intervals) software makes concepts visually vivid, and provides calculation and graphing facilities. The book can be used with or without ESCI. Other highlights include: - Coverage of both estimation and NHST approaches, and how to easily translate between the two. - Some exercises use ESCI to analyze data and create graphs including CIs, for best understanding of estimation methods. -Videos of the authors describing key concepts and demonstrating use of ESCI provide an engaging learning tool for traditional or flipped classrooms. -In-chapter exercises and quizzes with related commentary allow students to learn by doing, and to monitor their progress. -End-of-chapter exercises and commentary, many using real data, give practice for using the new statistics to analyze data, as well as for applying research judgment in realistic contexts. -Don’t fool yourself tips help students avoid common errors. -Red Flags highlight the meaning of "significance" and what p values actually mean. -Chapter outlines, defined key terms, sidebars of key points, and summarized take-home messages provide a study tool at exam time. -http://www.routledge.com/cw/cumming offers for students: ESCI downloads; data sets; key term flashcards; tips for using SPSS for analyzing data; and videos. For instructors it offers: tips for teaching the new statistics and Open Science; additional homework exercises; assessment items; answer keys for homework and assessment items; and downloadable text images; and PowerPoint lecture slides. Intended for introduction to statistics, data analysis, or quantitative methods courses in psychology, education, and other social and health sciences, researchers interested in understanding the new statistics will also appreciate this book. No familiarity with introductory statistics is assumed.


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