Introduction to data analysis and graphical presentation in biostatistics with R : statistics in the large /

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Bibliographic Details
Author / Creator:MacFarland, Thomas W., author.
Imprint:Cham : Springer, 2014.
Description:1 online resource (vii, 167 pages) : illustrations (some color).
Language:English
Series:SpringerBriefs in Statistics, 2191-544X
SpringerBriefs in statistics,
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11082459
Hidden Bibliographic Details
ISBN:9783319025322
3319025325
3319025317
9783319025315
9783319025315
Notes:Includes bibliographical references.
Online resource; title from PDF title page (SpringerLink, viewed November 18, 2013).
Summary: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.
Other form:Print version: MacFarland, Thomas W. Introduction to Data Analysis and Graphical Presentation in Biostatistics with R : Statistics in the Large. Dordrecht : Springer, ©2013 9783319025315
Standard no.:10.1007/978-3-319-02532-2