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 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.

List 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.

Report

From the book reviews:
"This text serves as an introduction to the use of R in biostatistics. It has specifically been structured to demonstrate the use of R syntax as opposed to the use of a point-and-select graphical user interface. ... Small and easy-to-follow confidence-building examples have been used throughout this text. ... This monograph is very useful not only for students in informatics, but especially also for those in medicine and biology related with the courses in biostatistics (medical statistics) and bioinformatics." (T. Postelnicu, zbMATH 1306.62016, 2015)

Product details

• Authors: Thomas W. MacFarland
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 29.11.2013
• EAN: 9783319025315
• ISBN: 978-3-31-902531-5
• No. of pages: 167
• Dimensions: 155 mm x 10 mm x 236 mm
• Weight: 311 g
• Illustrations: VII, 167 p. 16 illus., 14 illus. in color.
• Series: SpringerBriefs in Statistics
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; C, Epidemiology & medical statistics, Statistics, Mathematics and Statistics, Statistics and Computing, Statistics for Life Sciences, Medicine, Health Sciences, Statistics and Computing/Statistics Programs, Mathematical & statistical software, Biostatistics