Research Guides: Software for Data Analysis: SAS

Online Learning -- Software & Coding

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Why SAS?

SAS is a likely choice for a person who manages complex data sets on a continuous basis. It is especially strong in analysis of variance (ANOVA), the general linear model, and their extensions. There are few statistical or graphic tasks that you cannot do in SAS. The programming could be a challenge to beginners, but often you find that SAS is a long way down the list on ease of use.

Where To Find It!

Campus - Check the Computer Lab Software List

Online Tutorials

SAS Tutorial by Dr. Dwight Galster
The tutorial is made by a professor of statistics in South Dakota State University. It offers topics from basic to advanced, with many straight-forward and easy-to-follow screen-shots and videos.
SAS Tutorial by UCLA
The tutorial is prepared by Academic Technology Services in UCLA. The topics range data analysis models to...
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data analysis models, including, Robust Regression, Logistic Regression, Poisson Regression, Tobit Regression, One-way MANOVA, Canonical Correlation Analysis, etc.
SAS Online Doc
The official online help document for SAS 9.2, in from programming task, data management to various analytics. Base SAS(R) 9.2 Procedures Guide gives details and examples to each SAS procedures.

Recommended Books

Applied econometrics using the SAS system by Vivek B. Ajmani
Call Number: Langson Library - HB139 .A46 2009
ISBN: 0470129492
Publication Date: 2009
The book begins with a basic introduction to econometrics and the relationship between classical regression analysis models and econometric models. Subsequent chapters balance essential concepts with SAS tools and cover key topics such as regression analysis, hypothesis testing, instrumental variables analysis, heteroscedasticity, panel data analysis, discrete choice models, duration analysis models.
Applied Longitudinal Analysis by Garrett M. Fitzmaurice
Call Number: eBook
The book provides a rigorous and comprehensive description of modern methods for analyzing longitudinal data utilizing SAS. Focusing on General Linear and Mixed Effects Models for continuous responses, and extensions of Generalized Linear Models for discrete responses, the authors discuss in detail the relationships among these different models.
Data analysis using SAS by C.Y. Joanne Peng
Call Number: eBook
ISBN: 1412956749
The first half of the book instructs students in techniques for data and file managements such as concatenating and merging files, conditional or repetitive processing of variables, and observations. The second half of the book goes into great depth on the most common statistical techniques and concepts - descriptive statistics, correlation, analysis of variance, and regression.
Handbook of SAS DATA Step Programming by Arthur Li
Call Number: eBook
ISBN: 9781466552395
Publication Date: 2013
o write an accomplished program in the DATA step of SAS, programmers must understand programming logic and know how to implement and even create their own programming algorithm. Handbook of SAS DATA Step Programming shows readers how best to manage and manipulate data by using the DATA step.
An introduction to generalized linear models by Annette J. Dobson
Call Number: eBook
The book presents the theoretical background of generalized linear models (GLMs) and its application in SAS. It covers normal, Poisson, and binomial distributions; linear regression models; classical estimation and model fitting methods; and frequentist methods of statistical inference. After forming this foundation, the authors explore multiple linear regression, analysis of variance (ANOVA), logistic regression, log-linear models, survival analysis, multilevel modeling, Bayesian models, and Markov chain Monte Carlo (MCMC) methods.
The little SAS book : a primer by Lora D. Delwiche
Call Number: Science Library Bar - QA276.4 .D45 2008
ISBN: 9781599947259
Publication Date: 2008
Yes, we recommend the SAS bible again. Getting started with SAS is easy with The Little SAS Book. This friendly, easy-to-read guide gently introduces you to the most commonly used features of SAS software plus a whole lot more! download the data used in this book.