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Biostatistics with R: An Introduction to Statistics Through Biological Data (Us,
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N.º de artículo de eBay:388904970035
Características del artículo
- Estado
- Book Title
- Biostatistics with R: An Introduction to Statistics Through Biol,
- Narrative Type
- Biostatistics
- Genre
- N/A
- Topic
- Biostatistics
- Intended Audience
- N/A
- ISBN
- 9781461413011
Acerca de este producto
Product Identifiers
Publisher
Springer New York
ISBN-10
146141301X
ISBN-13
9781461413011
eBay Product ID (ePID)
20038375407
Product Key Features
Number of Pages
Xvi, 352 Pages
Publication Name
Biostatistics with R : an Introduction to Statistics Through Biological Data
Language
English
Subject
Biostatistics, Life Sciences / Biology
Publication Year
2011
Type
Textbook
Subject Area
Science, Medical
Series
Use R! Ser.
Format
Trade Paperback
Dimensions
Item Weight
19.9 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2011-943351
Dewey Edition
23
Reviews
From the reviews: "It presents the statistical concepts/methods starting with biological examples and leads the reader using R commands as guidelines. The author uses all opportunities to emphasize the close connection between statistics and other fields, making this textbook a good start for interdisciplinary studies. ... written for a broad range of readers, from undergraduates to researchers, from readers with a strong statistical background who wish to understand how to approach biological data sets, to readers who wish to use statistical methods to mine for information." (Irina Ioana Mohorianu, zbMATH, Vol. 1275, 2014) This book is, however, unique and distinct from others in the field that it presents R-Commander - a useful tool for teaching basic statistics to students who do not have a computer programming background. The Appendix A provides the simple instructions for its installation on a computer and introduces the reader to the R-Commander window. The author presents statistical methods by their direct application to numerous past scientific studies that are publicly available. In addition, the various data sets are available online and can be downloaded which makes the text ideal as a teaching aid. A balance has been struck between mathematical rigour and readability; with more complex concepts that are of limited application in everyday analyses relegated to the end of each chapter in Advanced sections. International Statistical Review, 81, 3, 2013, Review by Carl M.O'Brien, From the reviews: "It presents the statistical concepts/methods starting with biological examples and leads the reader using R commands as guidelines. The author uses all opportunities to emphasize the close connection between statistics and other fields, making this textbook a good start for interdisciplinary studies. ... written for a broad range of readers, from undergraduates to researchers, from readers with a strong statistical background who wish to understand how to approach biological data sets, to readers who wish to use statistical methods to mine for information." (Irina Ioana Mohorianu, zbMATH, Vol. 1275, 2014) This book is, however, unique and distinct from others in the field that it presents R-Commander - a useful tool for teaching basic statistics to students who do not have a computer programming background. The Appendix A provides the simple instructions for its installation on a computer and introduces the reader to the R-Commander window. The author presents statistical methods by their direct application to numerous past scientific studies that are publicly available. In addition, the various data sets are available online and can be downloaded which makes the text ideal as a teaching aid. A balance has been struck between mathematical rigour and readability; with more complex concepts that are of limited application in everyday analyses relegated to the end of each chapter in Advanced sections. International Statistical Review, 81, 3, 2013, Review by Carl M. O'Brien
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
570.1/5195
Table Of Content
Introduction.- Data Exploration.- Exploring Relationships.- Probability.- Random Variables and Probability Distribtions.- Estimation.- Hypothesis Testing.- Testing a Hypothesis on the Relatinoship Between Two Variables.- Analysis of Variance.- Analysis of Categorial Variables.- Regression Analysis.- Clustering.- Bayesian Analysis.
Synopsis
Biostatistics with R is designed to mimic the interaction between theory and application in statistics. Topics include data exploration, estimation, and clustering with two appendices on installing and running R and R-commander., Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language. The development of ideas is in the context of real applied problems, for which step-by-step instructions for using R and R-Commander are provided. Topics include data exploration, estimation, hypothesis testing, linear regression analysis, and clustering with two appendices on installing and using R and R-Commander. A novel feature of this book is an introduction to Bayesian analysis. This author discusses basic statistical analysis through a series of biological examples using R and R-Commander as computational tools. The book is ideal for instructors of basic statistics for biologists and other health scientists. The step-by-step application of statistical methods discussed in this book allows readers, who are interested in statistics and its application in biology, to use the book as a self-learning text.
LC Classification Number
QH323.5
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