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SAS Statistics by Example, by Ron Cody
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In SAS Statistics by Example, Ron Cody offers up a cookbook approach for doing statistics with SAS. Structured specifically around the most commonly used statistical tasks or techniques--for example, comparing two means, ANOVA, and regression--this book provides an easy-to-follow, how-to approach to statistical analysis not found in other books.
For each statistical task, Cody includes heavily annotated examples using ODS Statistical Graphics procedures such as SGPLOT, SGSCATTER, and SGPANEL that show how SAS can produce the required statistics. Also, you will learn how to test the assumptions for all relevant statistical tests. Major topics featured are correlation, inferential statistics, descriptive statistics, categorical data analysis, simple linear regression, comparing means, multiple regression, logistic regression, non-parametric tests, and power and sample size.
This is not a book that teaches statistics. Rather, SAS Statistics by Example is perfect for intermediate to advanced statistical programmers who know their statistics and want to use SAS to do their analyses.
- Sales Rank: #263654 in Books
- Published on: 2011-08-31
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .62" w x 7.50" l, 1.06 pounds
- Binding: Perfect Paperback
- 274 pages
About the Author
Ron Cody, Ed.D., is a retired professor from the Robert Wood Johnson Medical School who now works as a private consultant and a national instructor for SAS Institute Inc. A SAS user since 1977, Ron's extensive knowledge and innovative style have made him a popular presenter at local, regional, and national SAS conferences. He has authored or co-authored numerous books, such as Learning SAS by Example: A Programmer's Guide; SAS Programming by Example; Applied Statistics and the SAS Programming Language, Fifth Edition; The SAS Workbook; The SAS Workbook Solutions; Cody's Data Cleaning Techniques Using SAS Software; Longitudinal Data and SAS: A Programmer's Guide; and SAS Functions by Example, Second Edition, as well as countless articles in medical and scientific journals.
Most helpful customer reviews
5 of 6 people found the following review helpful.
Disappointment
By Dr Ahmed S Sajid
Absolute disappointment. Going by the authors name I expected a better content and presentation.
The book claims not to teach statistics. But hardly anything about SAS.
At the best it is a collection of specific examples. Now I am back to searching the net or the little sas book.
For example when i tried to see the options with proc freq the only option that the examples have is nocum.
The book in my opinion does not deserve any stars.I am giving a star because without that I cannot submit my review
2 of 2 people found the following review helpful.
Excellent
By Stats
It states that it does not teach statistics, but in many ways it does. There are many SAS books out there, but this is one of thee best. Very well written.
2 of 2 people found the following review helpful.
Wonderful Book -- Includes SG
By Steven Lewis
This is a great book, containing many examples. Each section is well thought out with examples and statistical graphics where appropriate.
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