Introduction to Data Analysis and Graphical Presentation in Biostatistics with R

Dr. MacFarland (tommac@nova.edu) is Senior Research Associate (Office of Institutional Effectiveness, http://www.nova.edu/ie/) and Associate Professor (Graduate School of Computer and Information Sciences, http://scis.nova.edu/) at Nova Southeastern University, Fort Lauderdale, Florida, USA. Dr. MacFarland first used S on a UNIX platform in 1988 to teach statistics for face-to-face and online distance education students majoring in the computing sciences and later in the 1990s transitioned to R. Since then Dr. MacFarland has used R for graduate students in non-computing majors, such as allied health, disaster preparedness, dispute resolution, education, and marine biology. An interest in biostatistics was developed when Dr. MacFarland studied agriculture at the baccalaureate and graduate level, but prior to the use of hand-held calculators and personal computers.

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)

• 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.