Book Description
This updated edition shows how to use the SAS System to perform basic statistical analysis. General topics include creating a data set with the SAS System; summarizing data with descriptive statistics, frequency tables, and bar charts; comparing groups (t-tests, one-way ANOVA, and nonparametric analogues); performing basic linear regression (lines, curves, and two-variable models); performing simple regression diagnostics (residuals plots, studentized residuals); and creating and analyzing tables of data. Using real-life examples, this beginner's guide bridges the gap between statistics texts and SAS documentation.

Supports releases 6.07 and higher of SAS software. ... Read more

Customer Reviews (4)

Great for Learning SAS and Statistics.
I am in the second semester of a two semester design of experiments sequence and I have just started using this book. It's been very helpful. At the moment I am using chapter 9 to help me with the Multiple Regression homework.

It helps out in two ways, it has nice, readable instructions on SAS, using relevent, but not overly complex examples, and the way it covers Statistics, using those examples, makes the concepts significantly easier for me to grasp than the Stats textbook we are using. Plus, unlike the textbook, it's short and it makes it easy to get the big ideas quickly. Not to mention the textbook doesn't help you with SAS at all (well, not practically). Very highly recommended for people interested in learning both SAS and Statistical Analysis.

Excellet
Great conditions and I received it the date expected. I'm very satisfied with the product.

A SAS Must!
This book seems to be just what I need in an introductory SAS programming class. It is simple to read and helps me more than the teacher does!

A good start for Non-Statisticians.
For the ones who don't like Statistics it's a good book to start withsomething apparently confusing.Actually, Statistics is dismistified inthis book.In the first part of the book it's given a introduction aboutthe basic things that SAS can do as a statistical program.The second partof the book is dedicated to the Statistics accompanied with the SASlanguage, once given in the first part.Good real examples give exactlythe notion what SAS can do about a Statistical Analysis.It's also a verygood book for the ones who aren't good in English, as myself (i'mbrazillian).If you are planning to study Statistics with somecomputational help try to start with this book.

Gustavo Tavares If youwant this review translated to Portuguese send me a request. ... Read more

Book Description
Base SAS software supports Structured Query Language (SQL), the ANSI standard and widely used language that enables you to create, retrieve, and update database information. This title is your introductory, task-oriented resource for SQL as implemented through the SAS SQL procedure. With this title, you will learn the basics of using PROC SQL, including retrieving data from single and multiple tables, selecting specific data from tables, subsetting, ordering, and summarizing data, updating tables, combining tables to create new tables and useful reports, performing queries on database management system (DBMS) tables, using PROC SQL with the SAS macro facility, and debugging and optimizing PROC SQL code. Additionally, detailed examples show you how to use PROC SQL to solve real-world problems, such as computing a weighted average, expanding hierarchical data in a table, creating a summary report, updating a table with values from another table, and using PROC SQL tables in other SAS programs. This title is also available online. This title is intended for users with a working knowledge of SAS programming. No knowledge of SQL or relational databases is assumed.

Supports releases 9.1 and higher of SAS software. ... Read more

Customer Reviews (1)

Save your money!
Save your money and just use the SAS online documentation. This title of this book says that it is a user's guide (if I am not mistaken, it is simply a print version of the online documentation), and it certainly reads like one, i.e. dry and boring. If you are a beginner, you will either fall asleep or be so confused. If you are an intermediate SAS programmer looking for a reference, just use the online documentation, as suggested earlier. ... Read more

Book Description
Art Carpenter thoroughly updates his successful first edition with an extensive collection of new examples and techniques. Addressing the composition and operation of the SAS macro facility and the SAS macro language, this second edition is filled with ready-to-use macros, macro functions, and macro tools that will enable you to effortlessly convert SAS code to macros, define macro variables, and more! New topics include writing user interfaces with %WINDOW, using SYSPARM and SYSPBUFF, using CALL EXECUTE, deleting macro variables using %SYMDEL, using macro recursion, and creating your own macro functions. Also included are new SAS 9 features such as statements that include %ABORT and %RETURN, system options for the macro language, macro functions, autocall library macros, and code recovery options for compiled stored macro libraries. Many topics from the first edition have been expanded. Whether you're a new user with a basic understanding of Base SAS or an experienced programmer looking for an advanced reference manual, this is the macro book that you've been searching for! ... Read more

Customer Reviews (5)

Excellent!!!
I am highly satified with the shipping method and the condition of the book.

KEEP UP THE GOOD WORK!!!

Thanks!

For Beginners Only
It is definitely not for advanced programmers, it is not designed to train you the ability to write your own code entirely as when using C++ or R language.
The book basically tells you how to manipulate existing SAS macro functions with the framework of SAS data step. I strongly doubt that a reader who finishes this book would acquire the ability to write a simple code on his own, for example, a code to compute the sum of integers from 1 to 100 under Macro environment.

But still, this is not a very bad book for two reasons:
1, there are not many books about writing (true) code inSAS;
2, the programming under SAS macro is very limiteddue to its poor design.

great for advanced programmers
Gives a fairly detailed overview of the SAS macro language. Great for users with a little bit of background. The book is not supplemented with an CD, it falls upon the reader to experiment.

excellent book for SAS/macro
I am not very familiar with SAS/Macro. This book show me how to
use macro language easily and I really learn a lot from this book. I recommend who does not know the macro language to buy
this book. And it contains much more than its prices.
Every SAS programmer must have one.

Don't write macros without it!
The definitive text by a recognized expert. I bought the first edition several years ago and immediately discovered how to resolve a macro problem that was stopping my progress. The book paid for itself in the first 5 minutes! Got the 2nd Edition a few weeks ago and quickly discovered ways to do two different things I didn't even know were possible. That's at least a 5X ROI so far, and I've only skimmed through a few pages so far.

Don't write code without it! ... Read more

Book Description
Bring your data to life and add meaning to your information with Maps Made Easy Using SAS. Abundant real-world examples and a tutorial approach help new users create maps easily and quickly. You will learn the basic mapping components, including map and response data sets as well as simple SAS/GRAPH statements. With in-depth examples you will move on to more advanced mapping techniques, such as annotating maps and producing customized maps and output. The process used to annotate maps is demystified and described in clear, easy-to-follow steps. You will produce data-driven, updatable maps in GIF format for use in Web-based presentations and other applications. Also presented are details on creating more complicated choropleth maps. These include maps that combine geographic areas with internal boundaries removed, maps that display multiple geographic areas, and clipped maps. Enhance your data presentations with this well-organized guide. ... Read more

Customer Reviews (3)

Excellent brief tutorial
Not really for beginners but the book is an excellent addition to any SAS library.Zdeb is basically the Merlin of SAS.

Maps Made Easy
Very detailed descriptions for a very difficult topic.Mike Zdeb is clear and concise in how to use the SAS to create professional-looking maps.Would love to see more examples.

The best book available on sas/graph 'proc gmap'
I have been a sas/graph user for 10+ years, and consider myself
a sas/graph gmap expert -- and I certainly wish this book had
been available 10 years ago, when I was trying to learn all
this 'proc gmap' stuff on my own! :)

This book teaches you everything you need to know, in order
to understand how sas/graph gmap works, and how to get your
data on the map in a variety of ways.

It even gets into some of the new areas, such as the
interactive web-versions of sas/graph gmap output.

This book is a *very* powerful tool!

(This book is my 2nd favorite sas/graph book of all time,
second only to "SAS/Graph Examples, Version 6" ... and
when it comes to maps, this one is perhaps even more
useful :)

... Read more

Book Description
Ron Cody's SAS Functions by Example is a must-have reference for anyone who writes programs in Base SAS. From ABS to ZIPSTATE, more than 180 of the most useful SAS language functions are clearly defined and illustrated with fully annotated working programs. Written as both a reference manual and an instructional guide, this book's features include functions arranged by category; coverage of 48 functions that are NEW for SAS 9.1; a tutorial on Perl regular expressions; extensive sample programs featuring each of the functions; tips to show you novel ways to use functions or to use several functions together to achieve the result you want; a list of programs, an alphabetic list of all the functions in the book, and a comprehensive index of functions and tasks. Beginning and seasoned SAS users will benefit from this comprehensive and useful reference guide to SAS functions! ... Read more

Customer Reviews (5)

Good reference book
Spend over ten hours going over the book as soon as I got, found it very well written and filled with simple examples. I have been using SAS for two years including few SAS functions like time and date, statistical and others. Good book for beginner programmer like me.
Don't know how useful this would be for people with extensive SAS experience.

Great reference
I have been using SAS for about 18 months and I have found this book to be the best reference in our arsenal.The multiple examples provided with the code explanations set this book apart from references I have found online or through SAS.com.I found the Chapters 1 and 2 essential to my work with string variables (in my case, mostly address information) but all of the other chapters have been useful.Once you outgrow the SAS Primer, this is a must.

An excellent resource
An excellent book. For each function, the author provides, not just explanations, but also complete examples and mini-programs, with inputs, code, and actual results. The best resource on SAS functions that I am aware of.

Handy book for those with SAS Experience
I used this book the first few hours that I received it.This is not a stand alone book for those that want to learn SAS functions.I think this text is best suited for people who use SAS regularly and needs a handy reference while programming.Skimming through the book would also provide the reader with an understanding of what functions SAS is capable of doing.However, it is highly likely that you will not use all of the programs, most of the programs are pretty useful especially to those that are required to manipulate data in SAS.

Too simple too Narrow
This may be a good reference book if your entire SAS experiences have been or will be dealing with text characters without any messy computation or you have never and will never write your own code based on new algorithms like what we are encountering everyday in academic under the supervision of innovative professors, or if your entire job is exclusive to handle one or two SAS procedures.

If your job or your mind is not so boring, then this book is probably NOT a good reference. A simple example, after you read the whole book, you DO NOT know how to find the probability, say P(X<=x), of a particular distribution X given x, nor could you know how to find a quartile. Even though this book emphasizes on functions dealing with characters, you will not know from this book how to put together two character variables. The author put a whole chapter telling you how to generate Normal and Uniform random variables while didn't bother to enumerate the ways to generate other distributions. You do not know how to generate a binomial or a Poisson or a Gamma or a Beta or a Chi-square ... I can hardly imagine what these SAS experts are doing everyday with SAS? We do not need a book or a whole chapter of a book to learn how to create Normal or Uniform distribution. A Google search gives more comprehensive results than Mr. Cody's whole chapter. What we need for a reference book is a complete list of all available SAS random variable generating functions which takes less than one page, which will save readers a great deal of time on no-clue searching, which is exactly what a reference book all about, and which unfortunately is exactly what this book has failed to do. A GOOD reference book should go even more beyond. In addition to the complete list, a friendly author would also let readers know how to indirectly generate some distributions that could not be generated directly by existing SAS functions, Inverse Gamma is a good starting point since it is very popular in the Bayesian computation while no SAS function can create it directly.

Lacking of both basic and very useful functions is particularly not acceptable for this book because allegedly it has been especially designed to serve for any level SAS users.

Today there are tons of people who claim they are SAS professionals, have been using SAS for xyz years. I personally know a handful of them. Most of them fall into one of the following categories:
1. Doing exclusive with SAS data step, and not familiar with anything else;
2. Working with one or two SAS proc's, and not knowing anything else;
3. Displaying SAS graphs in a fashion way, and not knowing anything else.
4. Adding some lines to existing SAS programs routinely, and thus believing he is an experienced SAS programmer, even though he is highly unlikely to know how to write a simple code on his own, for example to compute the sum of integers from 1 to 100, without using Data step.
.....

Those people have hardly exposed to anything outside their narrow and exclusive SAS environment and if those people say well to this book, you make your own decision.
... Read more

Book Description
This title covers the major features of how to use the mathematical programming procedures in SAS/OR software. ... Read more

Book Description
SAS Programming and Data Analysis is an instructional manual on programming with SAS and the general syntax of the SAS software. This instructional text deals with the syntactical methods adopted by SAS for dealing with different data retrieval situations, including data storage and management within its output system: ODS. ... Read more

Customer Reviews (1)

Very suitable for the beginner to SAS
SAS used to be a niche language used primarily by economists and financial analysts, due to its inclusion of many of the statistical tools they use in research and business. This is still true to a large degree but many in econometrics and financial engineering have gone over to more sophisticated languages such as C++ and Mathematica. In addition, SAS has found some use in genetic analysis, such as the analysis of quantitative trait loci, and in bioinformatics. Those who must learn SAS, especially those who have programmed in object-oriented environments or environments with very rigorous software coding standards, may find it to be somewhat of a sophomoric language, even though its statistical functions are very powerful. Regardless of how one feels about SAS as a programming language, it is a reality that many businesses, especially in the financial industry, use it exclusively. Therefore those who find consulting or employment opportunities in these businesses will be required to learn SAS, if they do not know it already.

This book makes the learning of SAS much more palatable for experienced programmers or skeptics who may be bothered by the syntax and semantics of SAS. Even though the language is easy to learn, it has many annoying features that can make it awkward to use, especially in the manner in which it handles arrays and list processing in general. In addition, its data formatting statements remind one to some extent of what was done when punch cards were still prevalent. Also, it is frequently the case that SAS data sets are simply too large to be imported into other formats, particularly EXCEL. This can considerably stymie serious financial analysis projects.

The author of this book has given enough of the details of the SAS language and enough examples to make it useful to the SAS novice. Some of the highlights include the discussion of the RETAIN statement, which allows cumulative sums to be performed. This is something that should be easy in a language that does list processing, but unfortunately is somewhat opaque in the SAS language, at least for beginners. In addition, there is chapter on arrays and one on how to obtain 3-D visualization in SAS. The chapters and the one on how to merge data sets should give beginning users of SAS, particularly those who are already experienced programmers in other languages, enough of a background to pursue nontrivial analysis projects that they may be called upon to do.
... Read more

Book Description
SAS/STAT software provides extensive statistical capabilities with tools for both specialized and enterprise-wide analytical needs. It can help you analyze data and make informed decisions for research, engineering, manufacturing, medical, and business applications. This user's guide provides the latest, detailed reference material for the procedures in SAS/STAT, including analysis of variance, regression, categorical data analysis, multivariate analysis, survival analysis, psychometric analysis, cluster analysis, nonparametric analysis, and survey data analysis. Also included are syntax and usage information, examples, and a discussion of the use of the Output Delivery System with the statistical software. New chapters for SAS 9.1 describe software for power and sample size computations, robust regression, multiple imputation, crosstabulations, table analysis, and logistic regression for survey data. Many other chapters have been updated with SAS 9.1 enhancements. This title is also available online. This title serves as a reference guide for both novice and expert users of SAS/STAT software. ... Read more

Book Description
This Course Notes teaches you how to produce reports using SAS programming statements. It concentrates on the REPORT procedure but includes information on producing reports using the FORMAT, TABULATE, and MEANS procedures. The book also includes information on producing reports with the macro facility and the DATA step. ... Read more

Book Description
SAS/IML software provides a flexible matrix programming language that enables you to use SAS for data manipulation and statistical analysis. You can also employ the SAS/IML matrix language for more specialized analyses and exploration. If you have a basic familiarity with SAS concepts, you can use the examples in this guide as models for developing programs that implement a number of different techniques in statistics, numerical analysis, and linear algebra. You will learn to display your results as text or graphs. The language reference section saves you time by providing summaries of the many functions, subroutines, and language keywords that are used in SAS/IML. This guide is also available online. Experienced programmers and data analysts will find this task-oriented, easy-to-read yet comprehensive guide an invaluable resource for learning SAS/IML. ... Read more

Book Description
Designed for users of SAS in the UNIX environment, this companion is a valuable reference tool. This documentation describes the features of the SAS language and SAS interface that are available only on UNIX or that behave differently on UNIX than on other platforms. You will learn basic X window concepts, how they relate to SAS, and how to use X resources to customize your SAS session. Additional topics include: working in and customizing the SAS windowing environment, using SAS files, using external files and devices as sources of input and as receivers of output, printing and routing SAS output, and accessing shared executable libraries from SAS. A reference section describes the SAS language features, such as data set options, procedures, and system options, that have aspects specific to UNIX. This title is also available online. This title is intended for SAS software users who have had some experience with SAS and with the UNIX operating environment. System administrators will want to read this title to understand how SAS works under UNIX.

Supports releases 9.1 and higher of SAS software. ... Read more

Book Description
A professional reference book for SAS programmers packed with specific, practical techniques explained and demonstrated, organized into 88 chapters for easy reference. Includes information on data types, text files, time data, codes, missing values, table lookup, calendars, SQL, XML, macro language, text analysis, and many other subjects that SAS programmers work with every day. ... Read more

Customer Reviews (1)

Great reference book
This is a terrific book for describing SAS features in a terse but comprehensive way.If I could only have one SAS book, this would be it. ... Read more

Book Description
Increase the modularity, flexibility, and maintainability of your SAS code with the SAS macro facility. This comprehensive reference provides complete information about macro language elements, interfaces between the macro facility and other parts of SAS software, and macro processing in general. With this title, you will learn how to create efficient and portable macro code, reduce the amount of text needed for common tasks, integrate macros with other parts of your SAS programs, and debug macros during development. This title is also available online. To take advantage of this book, you should have at least an intermediate knowledge of Base SAS programming.

Supports releases 9.1 and higher of SAS software. ... Read more

Book Description
Packed with step-by-step examples, this book shows you how to use the SAS System to perform logistic, probit, and conditional logistic regression analyses. This book enables statisticians, researchers, and new students to learn from the set of examples so that they can perform their own analyses and produce and understand the output. This book focuses on the LOGISTIC procedure but also contains examples that use the CATMOD, GENMOD, PHREG, and PROBIT procedures in SAS/STAT software. ... Read more

Customer Reviews (3)

3 1/2Typically Terse; Mostly for Experts
Generally speaking, logistic regression is a statistical technique that tries to explain or predict a dichotomous outcome (e.g., two levels, as in yes/no, succeed/fail, heal/don't heal) from a set of independent variables.For example, we could code quitting smoking as a '1' and not quitting as a '0'.Your outcome (a 1 or a 0 on smoking) may be related (in this hypothetical example) to frequency of smoking, smoking history, physiological and/or psychological features, treatment, or other factors. Logistic regression is used both to describe and to predict such outcomes. The book states this definition once, though not as clearly as the preceeding, then takes off into the mathematics:

"This logistic regression equation models the logit transformation of the ith individual's event probability, p(subscript i) as a linear function of the explanatory variables in the vector, x (subscript i)."

The text gets much more difficult than that.

The SAS Institute's manual on 'Logistic Regression' is most useful for people who already understand a great deal of the rationale and the statistics behind logistic regression.For them, the book's main advantage is its explanation of printed output, and coverage of several related topics. Most importantly, it provides problem examples related to logistic regression, and annotated SAS programs to solve them.

Even the easiest sections of the book assume at least a college-level background in stats, and many sections seem to require post-graduate expertise.There is very little explanation or teaching going on here, and the chapters on various log. reg. applications are simply too brief to learn from.At its most general level, then, it's a user guide for understanding output. For the the very experienced, it's a reference for interpreting output, as a template for writing task-specific SAS log. reg. programs, and for understanding and choosing among various SAS logistic regression techniques.Even experienced users will find some of the explanations lacking, however. For example, the chapter on ROC analysis is out of date, and cites two refences only (the most recent of which is from 1982).Given that this is a growing statistical area, this is just not enough. Other areas are give adequate, although short explanations, and would be quite useful for someone wanting a quick reference.

The book provides nine sample datasets dealing with comsumer choice and medical data. Topics and "examples" include fitting a binary logistic regression model, computing confidence limits, computing customized odds ratios, computing predicted probabilities and classifying observations, creating classification tables, using model selection methods in logistic regression, computing fit tests, producing regression diagnostics, correcting for overdispersion, displaying an ROC curve, ordinal responses, 1:1 matched Data, N:M matched data, fitting interactions, estimating discrete choice probabilities with a mulitnomial logit model, probit analysis for estimating an LD50, and fitting a Bradley-Terry model for paired comparisons. Hopefully, the preceeding list will give you an idea of whether this book is right for you.

This is a great start
To start a career in clinical biostatistics field, with minimal computer background, this book is a great help !

Examples -- Just the Examples
I purchased this book because I needed to do a large number of logistic regression runs for my dissertation.It does an excellent job in going through all the SAS code you need in order to write good logisticregression equations.However, I was disappointed by the very limiteddiscussion surrounding the application of the models.Fortunately, it doesprovide useful references.

The book is useful because it goes beyond theSAS user manuals in explaining how to program logistic regressions and whatSAS's output is describing.However, if you do not already have a goodunderstanding of logistic regression,(i.e. you had one lecture on it inyour research methods class) you might be better off with something alongthe lines of Logistic Regression Using the SAS System: Theory andApplication by Paul Allison. (Ihave no affiliation with Dr. Allison.) ... Read more

Book Description
This is your introductory, task-oriented resource for the Structured Query Language as implemented through the SAS SQL procedure. Detailed examples show you how to enhance performance using PROC SQL with database management systems (DBMSs), the macro facility, SAS Component Language (SCL), and the Output Delivery System (ODS). This book is intended for users with a working knowledge of SAS programming. No knowledge of SQL or relational databases is assumed. ... Read more