Handbook of Statistical Analyses Using SAS, Second Edition [Paperback]

Geoff Der (Author), Brian S. Everitt (Author)

Book Description

Publication Date: August 21, 2001 | ISBN-10: 158488245X | ISBN-13: 978-1584882459 | Edition: 2

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 to the rescue. Fully revised to reflect SAS Version 8.1, it gives a concise, straightforward description of how to conduct a range of statistical analyses. The authors have updated and expanded every chapter in this new edition, and have incorporated a significant amount of new material. The book now contains more graphical material, more and better data sets within each chapter, more exercises, and more statistical background for each method. Completely new topics include the following:

Data description and simple inference for categorical variables

Generalized linear models

Longitudinal data: Two new chapters discuss simple approaches, graphs, summary measure, and random effect models

Researcher or student, new user or veteran, you will welcome this self-contained guide to the latest version of SAS. With its clear examples and numerous exercises, A Handbook of Statistical Analyses using SAS, Second Edition is not only a valuable reference, but also forms the basis for introductory courses on either SAS or applied statistics at any level, from undergraduate to professional.

Editorial Reviews

About the Author

Geoff Der works as a consulting statistician at the Medical Research Council Social and Public Health Sciences Unit in Glasgow, Scotland. His current research interests include the relationship between cognitive functioning and health, income and health, and models for longitudinal data.

In 2005, Brian S. Everitt retired from being head of the Department of Biostatistics and Computing in the Institute of Psychiatry at King’s College London, UK. Currently working on his 60th statistics book, he acts as a statistical consultant to a number of companies.

--This text refers to an alternate Paperback edition.

Product Details

• Paperback: 376 pages
• Publisher: Chapman and Hall/CRC; 2 edition (August 21, 2001)
• Language: English
• ISBN-10: 158488245X
• ISBN-13: 978-1584882459
• Product Dimensions: 9.1 x 6.1 x 0.8 inches
• Shipping Weight: 1.2 pounds
• Average Customer Review: 4.0 out of 5 stars  See all reviews (8 customer reviews)
• Amazon Best Sellers Rank: #1,040,557 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

40 of 42 people found the following review helpful:

5.0 out of 5 stars Good overview of implementations and methods, October 21, 2002

By 

Megan Squire (Gibsonville, NC USA) - See all my reviews
(REAL NAME)   

Amazon Verified Purchase

This review is from: Handbook of Statistical Analyses Using SAS, Second Edition (Paperback)

This book is a good overview of how to implement in SAS some of the statistical methods you've probably already read about. I had done a lot of reading on factor analysis and clustering for my dissertation and needed a way to implement these methods in SAS. This book explains each method, then shows how to implement it using SAS. The data sets are from "The Handbook of Small Data Sets", which I got from my local university library. As I am a computer scientist and not a statistician, I found this book very helpful in putting together **the idea** of a particular statistical technique with the actual **implementation** of that technique. I have the first edition of this book also, and the second edition is much improved (especially the chapters on clustering and factor analysis).

28 of 29 people found the following review helpful:

5.0 out of 5 stars applications illustrated in SAS, January 23, 2008

By 

Michael R. Chernick "statman31147" (Holland PA) - See all my reviews
(REAL NAME)   

This review is from: Handbook of Statistical Analyses Using SAS (Paperback)

Brian Everitt is the author of several very well-written statistical texts. Among them he has written a number that show how to implement statistical analyses usimg statistical software packages. This second edition of "A Handbook of Statistical Analyses using SAS" he has coauthored with Geoff Der.
As a SAS user, I find this book very handy along with other similar texts that I have on the use of SAS. What is particularly good about this book is that it serves as a guide to the use of various SAS procedures and also as an illustration of appropriate statistical approaches to real applications using SAS.

It starts out with a nice introduction to the SAS prrogramming language and its syntax and progresses through simple descriptive statistics to categorical data analysis to regression and analysis of variance and then on to more advanced topics, including survival analysis, logistic regression, generalized linear models,longitudinal data analysis, principle components, factor analysis and cluster analysis. Appendices provide SAS MACROs and SAS solutions to exercises in the text.

What is particularly good about this book, that may set it apart from some of the others, is the expert statistical advice about the implementation and interpretation of results in SAS. They provide excellent scholarly references to the statistical literature to support their advice. As an example, I particularly liked their discussion of Type I and Type III sum of squares in the analysis of variance. They give a clear explanation of what each means and when they are equivalent and when they are different. In addition, they present their own view as to which is the appropriate one to use in given situations and support their view with quotes from other researchers. Opposing positions are also mentioned and referenced.

23 of 24 people found the following review helpful:

5.0 out of 5 stars Very readable and practical, January 2, 2004

By A Customer

This review is from: Handbook of Statistical Analyses Using SAS, Second Edition (Paperback)

This book is very well written. Each topic is presented with an interesting example, including discussion. None of the topics are presented in great depth, so for example, this is not the book to use for learning factor analysis, or cluster analysis, etc. The real strength of the book is that it shows how to do the analysis using SAS in a clear and concise way. I would recommend this book highly for anyone who would like to get started using SAS.