Customer Reviews

SAS for Data Analysis: Intermediate Statistical Methods (Statistics and Computing)

5 star:		(1)
4 star:		(1)
3 star:		(0)
2 star:		(0)
1 star:		(0)

 

 

This book is designed to be a 2nd quarter graduate level statistics text for non-math majors. It features good writing, and well annotated code and output. Some sections have math up-to and including matrix algebra but strong math skills are not essential to use the book. The topics include:

Chapter 1: Introduction to SAS
Input and retain statements for loading and manipulating data

If you have the bad luck of getting data as a "complex" text file, where SAS can not automatically guess the format when you use the import procedure, this chapter alone makes the book worth the money. It is a GREAT discussion of reading complex text files.

Chapter 2: More on SAS Programing and Some Applications
Univariate statistics, proc plot, proc chart and proc tabulate for very early 1980s looking graphics

Chapter 3: Statistical Graphics Using SAS/Graph
Gplot and Gchart for qunatile, QQ plots, scatterplots, scatter matrices histograms for very early 1990s looking graphics

Chapter 4: Regression Models
Ordinary least squares regression and basic ANOVA (proc reg and proc anova), 4 types of sums of squares in SAS

Chapter 5: Analysis of Variance
Proc anova and glm for oneway anova, one way ancova and two way experiments

Chapter 6 Random and mixed effects modesls
Proc GLM and proc mixed for one and two way models

At the time of this review SAS 9.2 is out and it makes the graphics in this book (1/4 of the material) absolutely obsolete. If you are learning SAS with SAS 9.1.3 then this has very worthwhile coverage of the topics above. If you are using 9.2 you will want to sit down with the online documentation for the new graphics to look up the plots instead of using the code in the book. This would have been a 5 star book filling in topics not well covered in the SAS Press books if it was published 4 years ago. Sadly, it needs a 2nd edition already.

The book is in great condition.
This book is a great reference for SAS software which is a great tool of doing statistics analysis. The content is really useful and easy to follow