A Handbook of Statistical Analyses using SAS

by Geoff Der, Brian S. Everitt

Updated to reflect SAS 9.2, A Handbook of Statistical Analyses using SAS, Third Edition continues to provide a straightforward description of how to conduct various statistical analyses using SAS. Each chapter shows how to use SAS for a particular type of analysis. The authors cover inference, analysis of variance, regression, generalized linear models, longitudinal data, survival analysis, principal components analysis, factor analysis, cluster analysis, discriminant function analysis, and correspondence analysis. They demonstrate the analyses through real-world examples, including methadone maintenance treatment, the relation of cirrhosis deaths to alcohol consumption, a sociological study of children, heart transplant treatment, and crime rate determinants. With the data sets and SAS code available online, this book remains the go-to resource for learning how to use SAS for many kinds of statistical analysis. It serves as a stepping stone to the wider resources available to SAS users.

416 pages, Paperback

First published August 1, 1996

Reviews

[Don · Rating 4 out of 5]

Heavy on the non-parametric side; a useful book nonetheless.

[Ehsan Khedive · Rating 5 out of 5]

This is a useful book on analyzing data. I really liked it's last chapters (13, 14, 15, 16) but it worked poor in details and diagnostics in some chapters like Generalized linear models.