Biostatistics with R : an introduction to statistics through biological data

Author(s)

    • Shahbaba, Babak

Bibliographic Information

Biostatistics with R : an introduction to statistics through biological data

[by] Babak Shahbaba

(Use R! / series editors, Robert Gentleman, Kurt Hornik, Giovanni Parmigiani)

Springer, c2012

  • : pbk

Available at  / 8 libraries

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Note

Includes bibliographical references and index

Description and Table of Contents

Description

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.

Table of Contents

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.

by "Nielsen BookData"

Related Books: 1-1 of 1

  • Use R!

    series editors, Robert Gentleman, Kurt Hornik, Giovanni Parmigiani

    Springer

Details

  • NCID
    BB08960722
  • ISBN
    • 9781461413011
  • Country Code
    us
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    New York
  • Pages/Volumes
    xvi, 352 p.
  • Size
    24 cm
  • Classification
  • Subject Headings
  • Parent Bibliography ID
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