Introduction to Data Analysis and Graphical Presentation in Biostatistics with R

Statistics in the Large

Nonfiction, Health & Well Being, Medical, Reference, Biostatistics, Science & Nature, Mathematics, Computers, Application Software
Cover of the book Introduction to Data Analysis and Graphical Presentation in Biostatistics with R by Thomas W. MacFarland, Springer International Publishing
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Author: Thomas W. MacFarland ISBN: 9783319025322
Publisher: Springer International Publishing Publication: November 19, 2013
Imprint: Springer Language: English
Author: Thomas W. MacFarland
ISBN: 9783319025322
Publisher: Springer International Publishing
Publication: November 19, 2013
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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