Introduction to Data Analysis and Graphical Presentation in Biostatistics with R

Statistics in the Large

  • Thomas W. MacFarland

Part of the SpringerBriefs in Statistics book series (BRIEFSSTATIST)

Table of contents

  1. Front Matter
    Pages i-vii
  2. Thomas W. MacFarland
    Pages 1-4
  3. Thomas W. MacFarland
    Pages 17-46
  4. Thomas W. MacFarland
    Pages 47-72
  5. Thomas W. MacFarland
    Pages 73-97
  6. Thomas W. MacFarland
    Pages 99-127
  7. Thomas W. MacFarland
    Pages 129-163
  8. Thomas W. MacFarland
    Pages 165-167

About this book


Through real-world datasets, this book shows the reader how to work with material in biostatistics using the open source software R. These include tools that are critical to dealing with missing data, which is a pressing scientific issue for those engaged in biostatistics. Readers will be equipped to run analyses and make graphical presentations based on the sample dataset and their own data. The hands-on approach will benefit students and ensure the accessibility of this book for readers with a basic understanding of R.

Topics include: an introduction to Biostatistics and R, data exploration, descriptive statistics and measures of central tendency, t-Test for independent samples, t-Test for matched pairs, ANOVA, correlation and linear regression, and advice for future work.


ANOVA Biostatistics Biostatistics with R Graphical analysis R Regression

Authors and affiliations

  • Thomas W. MacFarland
    • 1
  1. 1.Office for Institutional EffectivenessNova Southeastern UniversityFort LauderdaleUSA

Bibliographic information

  • DOI
  • Copyright Information The Author(s) 2014
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-02531-5
  • Online ISBN 978-3-319-02532-2
  • Series Print ISSN 2191-544X
  • Series Online ISSN 2191-5458
  • About this book