ABSTRACT

Powerful software often comes, unfortunately, with an overwhelming amount of documentation. As a leading statistics software package, SAS is no exception. Its manuals comprise well over 10,000 pages and can intimidate, or at least bewilder, all but the most experienced users.

A Handbook of Statistical Analyses using SAS, Second Edition comes

A Brief Introduction to SAS. Data Description and Simple Inference. Simple Inference for Categorical Data. Multiple Regression. Analysis of Variance. Analysis of Variance of Repeated Measures. Logistic Regression. Generalized Linear Models. Longitudinal Data. Survival Analysis. Principal Components Analysis and Factor Analysis. Cluster Analysis. Discriminant Function Analysis. Correspondence Analysis. Appendices.