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Title: Applied Statistics and the SAS Programming Language by Ronald P. Cody, Jeffrey K. Smith ISBN: 0-13-743642-4 Publisher: Prentice Hall Pub. Date: 15 January, 1997 Format: Paperback Volumes: 1 List Price(USD): $41.33 |
Average Customer Rating: 4.21 (19 reviews)
Rating: 4
Summary: A good comprehensive intro to stats using SAS.
Comment: Applied Statistics and the SAS Programming Language by Cody and Smith is a good introduction to the SAS language. This book, while giving a good intro to stats with SAS, is not for everyone. Those with no prior programming experience, particularly with SAS would be better off trying Hatcher and Stepanski's book first (isbn 1-55544-634-5). For those with some SAS knowledge already, this is a great book. It is limited in that some of the finer details of the functioning of the program examples are not explained in full detail. Usually only a brief description of what part of a program example does is given, rather than an explanation of the logic and sequence of how it works and how to generalize it to other examples. The book is also written in a roundabout fashion, with the examples and descriptions of the stats procedures given first, and the explanation of the data step programming techniques given in the second part of the book. This is why this book is fine for those with some knowledge of SAS already, for the second section while clear and to the point is essentially a collection of reference examples, rather than an intro to the logic of SAS programming. For a more complete treatment of the finer workings of SAS programming logic, DiIorio and Hardy's book (isbn 0-534-23760-6) is a better text, and an excellenct compliment to this book.
This book does do an excellent job of introducing the basic stats procedures that SAS/STAT has available, and how to apply them to different data analysis situations. Also, this text has the best introduction to repeated measures designs in SAS that I have read yet. Of particular use is the chapter on using arrays to restructure data sets for use in multivariate analyses. However, this book does not specifically treat multivariate procedures in any depth.
In sum, an overall well done book, but not for the first time SAS novice. Hatcher and Stepanski is a better book for the novice just learning SAS for the first time. Cody and Smith is a book that is perfect for people who already have some knowledge of the basics of SAS, like how to write basic data and procedure statements, and want to get a deeper knowledge of SAS by example. For those who wish to get a better understanding of the logic of how SAS works, particularly for treatments of DO statement recursive loops and of IF-THEN-ELSE conditional statements, DiIorio and Hardy's book is the best compliment for this text.
Rating: 4
Summary: A good introduction
Comment: This is an ideal book for a certain audience, and a good book for many audiences The ideal audience is college-level students or B.A. level professionals who know a little SAS and know a little statistics, and need to know how to combine them. The book is very clear and well organized, and makes no pretence to be what it isn't (i.e. a complete reference to SAS-STAT, a course book in statistics).
A good companion book would be DiIorio's SAS Applications Programming: A gentle introduction.
Rating: 1
Summary: A once great book whose time has passed
Comment: Once upon a time, I could not recommend this book highly enough. That's the problem--"once upon a time". In 2004, this book violates what I consider an overriding consideration for instruction books: Never distract the new user with picky details that s/he'll will rarely need in practice.
The first few chapters are written using INPUT and DATALINES; commands to enter data. For those unfamiliar with SAS, that means the authors enter all of their data as lines of text typed inside their command language. No one works that way any more! It's a hold over from the days of punchcards. Does the new user really need to know that
INPUT ID 1-3 AGE 4-5 GENDER $6;
means "look in columns 1-3 for a numerical id, columns 4-5 for numerical age, and column 6 for a character designating gender"? When the 4-th edition was written, the answer might have been yes, but even then it would have been given grudgingly. For more than a few years, data almost always arrive as data sets that have already been made into SAS files or as spreadsheets that can be imported directly into SAS. This method of data input would not be a fatal flaw if the material were in a later chapter or an appendix, but it's woven throughout the text starting with the first example on page 3.
I would love to see this book updated with a more modern view to how data are processed and analyzed, but I can no longer recommend it in its current form.
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Title: The Little SAS Book : A Primer, Second Edition by Lora D. Delwiche, Susan J. Slaughter ISBN: 1580252397 Publisher: SAS Publishing Pub. Date: 10 November, 1998 List Price(USD): $30.95 |
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Title: SAS Programming by Example by Ron Cody, Ray Pass ISBN: 1555446817 Publisher: SAS Publishing Pub. Date: 08 March, 1995 List Price(USD): $44.95 |
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Title: SAS Learning Edition 1.0 by SAS Institute ISBN: 1590470648 Publisher: SAS Publishing Pub. Date: June, 2002 List Price(USD): $125.00 |
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Title: Handbook of Statistical Analyses Using SAS, Second Edition by Geoff Der, Brian S. Everitt ISBN: 158488245X Publisher: CRC Press Pub. Date: 21 August, 2001 List Price(USD): $44.95 |
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Title: SAS Programming for Researchers and Social Scientists by Paul E. Spector ISBN: 0761922687 Publisher: Sage Publications Pub. Date: 20 April, 2001 List Price(USD): $38.95 |
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