Want to learn SAS Software but you don't know where to start? This friendly easy-to-read guide gently introduces you to the most commonly used features of SAS software plus a whole lot more! Topics cover the gamut of Base SAS concepts, an introduction to SAS/STAT, and getting your data into SAS (including PROC IMPORT and PROC EXPORT). You'll find a generous amount of information addressing: basic SAS concepts (such as DATA and PROC steps); using the SAS windowing environment; working with permanent and temporary SAS data sets; inputting, and reading data; modifying data; introduction to the Output Delivery System (ODS) which enables you to generate HTML files for viewing with an internet browser; introduction to macros; debugging SAS programs (including the DATA step debugger); and appendices to help programmers of other software languages become comfortable with the SAS programming language. Each topic is divided into a easy-to-use self-contained two-page layout complete with examples and graphics. This format enables new users to get up and running quickly, while the examples allow you to type in the program and see them work! More seasoned programmers will find this guide a useful reference to have on hand. 288 pages
Experienced SAS System users will find this an invaluable guide to SAS procedures for performing regression analyses. Simple and multiple variable models are discussed as well as polynomial models, log-linear models, spline functions, and restricted linear models. With this book you will become a pro at using various MODEL statement options with the REG procedure and creating data sets with the OUTPUT statement, detecting multicollinearity and combating its effects,and fitting a growth curve with the NLIN procedure. 232 pages
Features and capabilities of the REG, ANOVA, and GLM procedures are included in this introduction to analyzing linear models with the SAS System. This clearly written guide will show you how to apply the appropriate procedure to your data analysis problems and understand PROC GLM output. Other helpful guidelines and discussions cover the following significant areas: multivariate linear models, lack-of-fit analysis, covariance and heterogeneity of slopes, a classification with both crossed and nested effects, and analysis of variance for balanced data. 352 pages
You'll find within these 2 volumes detailed reference information on the procedures in SAS/STAT software as of Release 6.06. In Volume 1, chapters 1 through 8 give an overview of different types of analytical procedures. Most of the remaining chapters in Volume 1 and all the chapters in Volume 2 describe individual SAS/STAT procedures, listed alphabetically. Combined with SAS/STAT Software: Changes and Enhancements through Release 6.12, these two volumes provide reference information on all SAS/STAT procedures. This book is designed for data analysts who use SAS/STAT software and are familiar with basic SAS System concepts. 1848 pages
You may find a complete list of books about SAS on the SAS Publications Catalog (http://www.sas.com/www-bin/bleat@2223/submit/frontPage/92002309731593387588230/52209).
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