Statistical Analytics for Health Data Science with SAS and R

1) Extensive compilation of commonly used statistical methods from fundamental to advanced level, which are essential for applied data scientists and practitioners in data science 2) Straightforward explanations of the collected statistical theory and models 3) Compilation of a variety of publicly available data 4) Illustration of data analytics using commonly used statistical software of SAS/R (with SPSS/Stata as online supplementary materials) 5) Data and computer programs are available for readers to replicate and implement the new methods for better understand the book contents and for future applications 6) Handbook for data scientists and applied statisticians.