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Biostatistics with R : An Introduction to Statistics Through Biological Data - Michael Orey
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Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical conce… More...

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Biostatistics with R - Babak Shahbaba
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Biostatistics with R
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Biostatistics with R : An Introduction to Statistics Through Biological Data - Stuart Galbraith IV
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Biostatistics with R - Babak Shahbaba
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Biostatistics with R - new book

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Statistics; Statistics for Life Sciences, Medicine, Health Sciences Biostatistics, R applications Books eBook, Springer Nature

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Biostatistics with R
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1461413028

Details of the book - Biostatistics with R


EAN (ISBN-13): 9781461413028
ISBN (ISBN-10): 1461413028
Publishing year: 2011
Publisher: Springer New York
352 Pages
Language: eng/Englisch

Book in our database since 2012-06-12T10:01:48+01:00 (London)
Detail page last modified on 2024-01-22T20:31:01+00:00 (London)
ISBN/EAN: 1461413028

ISBN - alternate spelling:
1-4614-1302-8, 978-1-4614-1302-8
Alternate spelling and related search-keywords:
Book author: baba, stuart galbraith
Book title: introduction statistics

Information from Publisher

Author: Babak Shahbaba
Title: Use R! Biostatistics with R - An Introduction to Statistics Through Biological Data
Publisher: Springer; Springer US
352 Pages
Publishing year: 2011-12-15
New York; NY; US
Language: English
85,59 € (DE)
88,00 € (AT)
94,50 CHF (CH)
Available
XVI, 352 p. 162 illus., 73 illus. in color.

EA; E107; eBook; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Biostatistics; R applications; A; Biostatistics; Mathematics and Statistics; BC

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.

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.

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)

International Statistical Review, 81, 3, 2013, Review by Carl M.O’Brien

Advanced

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 elementary introduction to the basic of 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. 


Discusses basic statistical analysis through a series of biological examples using R and R-Commander as computational tools Topics are motivated by real examples Intended for a wide range of readers Includes supplementary material: sn.pub/extras

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