Statistical programming is necessary for a range of specialties where data-based or simulation studies are conducted. For example, Monte Carlo methods are used to generate P-values for complex statistics and manipulating large data sets is becoming commonplace. Many individuals experience computing exclusively through a graphical user interface, and may not be prepared to deal with challenges of constructing specialized programs for addressing their research problems. These individuals may not be familiar with basic programming concepts (e.g. looping, conditional execution) or programming style to keep programs easier to read and maintain (e.g. modular code with sensible commenting). In this book, SAS will be used as a platform to introduce programming ideas for statistical analysis, data management and simulation. Examples of statistical methods and concepts not always encountered in first statistics courses (e.g. bootstrapping, randomization tests, jittering) will be used to illustrate these programming ideas.
Let me know when this book is available
