318 pages, 27 illus, 67 tabs
This reference presents a broad range of statistical methods for a diverse audience. It first introduces fundamental concepts from statistics and then discusses data analysis and regression. Later chapters cover such diverse topics as interim analysis, propensity scores, and competing risks. The author provides SAS code for the analyses of widely encountered research problems found in a range of disciplines, including medical research, the pharmaceutical industry, and the social sciences. While SAS code and output is integrated into the text, a supporting website includes all of the data sets and SAS code.
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