Now it's easy to perform many of the most common statistical techniques when you use the SAS Enterprise Guide point-and-click interface to access the power of SAS. Emphasizing the practical aspects of the analysis, this example-rich guide shows you how to conduct a wide range of statistical analyses without any SAS programming required. One or more real data sets, a brief introduction of the technique, and a clear explanation of the SAS Enterprise Guide output are provided for each analysis. Exercises at the end of each chapter help you consolidate what has been learned.
- Analysis of variance
- Dealing with categorical data
- Logistic regression
- Significance tests
- Survival analysis
- And more!
This text is ideal for those who want to use SAS to analyze their data, but do not have the time to undertake the considerable amount of learning involved in the programming approach.
About the Author
Geoff Der is a consulting statistician for the Medical Research Council in Glasgow, Scotland, where he advises research staff on study design and statistical analysis. A SAS user since 1981, Geoff specializes in Base SAS, SAS/STAT, SAS/GRAPH, the SAS Macro facility, ODS, and SAS Enterprise Guide.
Brian S. Everitt is retired as Head of the Department of Biostatistics and Computing, Institute of Psychiatry, King's College, London, and is now Professor Emeritus at King's College.