Introduction to Data Analysis and Graphical Presentation in Biostatistics with R Statistics in the Large /

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 t...

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Bibliographic Details
Main Author: MacFarland, Thomas W. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
Series:SpringerBriefs in Statistics,
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Introduction to Biostatistics and R
  • Data exploration, descriptive statistics and measures of central tendency
  • Student's t-Test for independent samples
  • Student's t-Test for matched pairs
  • One way ANOVA
  • Two way ANOVA
  • Correlation and linear regression
  • Future Actions and Next Steps.