About This Book
Purpose
Statistical programming is necessary where data-based analyses 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 people experience computing exclusively through a graphical user interface. Therefore, they might not be prepared to deal with the challenges of constructing specialized programs to address their research problems. They might not be familiar with basic programming concepts (e.g., looping or conditional execution) or programming styles to keep programs easier to read and maintain (e.g., modular code with sensible commenting). In this book, SAS 9.2 is used as a platform to introduce ...
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