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.
General
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