A good text for analyzing categorial data with SAS, but not an introductory text.

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	• Categorical Data Analysis Using The SAS System Maura E. Stokes, Charles S. Davis, ... WA (Wiley-SAS), 2001 - 648 pages average customer review:based on 10 reviews view larger image
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highly recommended

Categorical Data Analysis Using the SAS system

It's a good handbook provides examples that are easy to replicate; full explanations of code use. Logical Layout. Easy to find your topic of interest.

Two ISBNs, One Great Book

The second edition of this book has two ISBNs: 1-58025-710-0 under SAS Institute and 0-471-22424-3 under John Wiley & Sons. In spite of what Amazon displays, both books have only 426 pages of content+index and are copyrighted in year 2000. The Wiley version just has a few more pages of catalog. Other than that, you pay different prices for exactly the same thing.

As for the usefulness of this book, I think its reputation speaks for itself. While this book orients around code examples, it is not shy of laying out the theoretical groundwork to let readers know why it is doing what it is doing. Chapters 1 through 7 give a solid introduction to PROC FREQ, and thoroughly cover all forms of 2- and 3-way contingency tables. The only shortcoming is its lack of details on concordant statistics such as Sommer's D. (Section 5.4.1 is a bit short.) To fill that gap, I recommend Bayo Lawal's "Categorical Data Analysis with SAS and SPSS Applications". The rest of the book (chapters 8 through 17) mainly drills on major topics such as PROC LOGISTIC, PROC CATMOD, and PROC GENMOD. But it also covers PROC RANK, PROC PHREG, PROC NPAR1WAY, PROC IML, and even ODS. However, the second edition barely made the updates for SAS 8.1, and is currently slightly out-of-sync with the latest release of SAS 9.1 as of 2007.

All in all, this book provides not only quick access to complete SAS codes for use in practical scenarios, but also insightful information on goodness-of-fit, diagnostics, missing data handling, and other important but often overlooked matters. As much ground as this book covers, it only requires minimal SAS programming skills and only some decent knowledge of categorical data analysis on readers' part. Everyone should be able to find something relevant to his purpose (and make use of it) in the variety of examples in this thoughtfully written book.

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Categorical Data Analysis Using the SAS System

I got the book in a very good condition. i would want to order more through amazon.

Must have for categorical analysis

If you really want to be an expert on categorical analysis, you must have this book, well written and great examples especially if you have an introductory to stats.

A good text for analyzing categorial data with SAS, but not an introductory text.

I have the luxury of taking categorical data analysis with Dr. Koch (one of the author's of this book), and his depth of experience using SAS for categorical data analysis is definitely demonstrated in this book. If you need to know how to analyze categorical data using SAS, this book is a necessity; it includes almost all the code/option statements you'll need to do every flavor of categorical test, including exact tests. The downside is this book is light on theory, and I find myself going back to my general biostats tome for explanations of some topics. This book probably also isn't going to work for you if you need a book on categorical stats using a package other than SAS or if you've never used SAS before. All in all, if you like or need to use SAS for your work, this book paired with your favorite general stats tome is pretty much everything you'll need to completely dissect non-continuous data.

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reviews: page 1, 2

Along with providing a useful discussion of categorical data analysis techniques, this book shows how to apply these methods with the SAS System. The authors include practical examples from a broad range of applications to illustrate the use of the FREQ, LOGISTIC, GENMOD, and CATMOD procedures in a variety of analyses. They also discuss other procedures such as PHREG and NPAR1WAY.

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