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Аннотация
SAS Macro Language Magic: Discovering Advanced Techniques pushes the SAS macro language to the limit. It explores how even common tools, when used to their full advantage, can transform into amazing applications. This book assumes a basic knowledge of the SAS macro language and then shows how to apply that knowledge in new and different ways.
This book enables you to find a technique that you like and then explore it to discover what works and what the possibilities are. You can experiment, focusing more on the application and less on the syntax, while at the same time visualizing the SAS program you want to generate.
Discover and develop powerful programming techniques down the path to demystifying MACROS. All the tricks and secrets are revealed, enabling you to write SAS macros that work like MAGIC.
This book is part of the SAS Press program.
This book enables you to find a technique that you like and then explore it to discover what works and what the possibilities are. You can experiment, focusing more on the application and less on the syntax, while at the same time visualizing the SAS program you want to generate.
Discover and develop powerful programming techniques down the path to demystifying MACROS. All the tricks and secrets are revealed, enabling you to write SAS macros that work like MAGIC.
This book is part of the SAS Press program.
Аннотация
Thoroughly updated for SAS 9, Cody's Data Cleaning Techniques Using SAS, Second Edition, addresses tasks that nearly every SAS programmer needs to do – that is, make sure that data errors are located and corrected. Written in Ron Cody's signature informal, tutorial style, this book develops and demonstrates data cleaning programs and macros that you can use as written or modify for your own special data cleaning needs. Each topic is developed through specific examples, and every program and macro is explained in detail.
Аннотация
Learn to program SAS by example! Learning SAS by Example: A Programmer’s Guide, Second Edition , teaches SAS programming from very basic concepts to more advanced topics. Because most programmers prefer examples rather than reference-type syntax, this book uses short examples to explain each topic. The second edition has brought this classic book on SAS programming up to the latest SAS version, with new chapters that cover topics such as PROC SGPLOT and Perl regular expressions. This book belongs on the shelf (or e-book reader) of anyone who programs in SAS, from those with little programming experience who want to learn SAS to intermediate and even advanced SAS programmers who want to learn new techniques or identify new ways to accomplish existing tasks. In an instructive and conversational tone, author Ron Cody clearly explains each programming technique and then illustrates it with one or more real-life examples, followed by a detailed description of how the program works. The text is divided into four major sections: Getting Started, DATA Step Processing, Presenting and Summarizing Your Data, and Advanced Topics. Subjects addressed include Reading data from external sources Learning details of DATA step programming Subsetting and combining SAS data sets Understanding SAS functions and working with arrays Creating reports with PROC REPORT and PROC TABULATE Getting started with the SAS macro language Leveraging PROC SQL Generating high-quality graphics Using advanced features of user-defined formats and informats Restructuring SAS data sets Working with multiple observations per subject Getting started with Perl regular expressions You can test your knowledge and hone your skills by solving the problems at the end of each chapter.
Аннотация
The Global English Style Guide illustrates how much you can do to make written texts more suitable for a global audience. Accompanied by an abundance of clearly explained examples, the Global English guidelines show you how to write documentation that is optimized for non-native speakers of English, translators, and even machine-translation software, as well as for native speakers of English. You'll find dozens of guidelines that you won't find in any other source, along with thorough explanations of why each guideline is useful. Author John Kohl also includes revision strategies, as well as caveats that will help you avoid applying guidelines incorrectly.
Focusing primarily on sentence-level stylistic issues, problematic grammatical constructions, and terminology issues, this book addresses the following topics: ways to simplify your writing style and make it consistent; ambiguities that most writers and editors are not aware of, and how to eliminate those ambiguities; how to make your sentence structure more explicit so that your sentences are easier for native and non-native speakers to read and understand; punctuation and capitalization guidelines that improve readability and make translation more efficient; and how language technologies such as controlled-authoring software can
facilitate the adoption of Global English as a corporate standard.
This text is intended for anyone who uses written English to communicate technical information to a global audience. Technical writers, technical editors, science writers, and training instructors are just a few of the professions for which this book is essential reading. Even if producing technical information is not your primary job function, the Global English guidelines can help you communicate more effectively with colleagues around the world.
This book is part of the SAS Press program.
Focusing primarily on sentence-level stylistic issues, problematic grammatical constructions, and terminology issues, this book addresses the following topics: ways to simplify your writing style and make it consistent; ambiguities that most writers and editors are not aware of, and how to eliminate those ambiguities; how to make your sentence structure more explicit so that your sentences are easier for native and non-native speakers to read and understand; punctuation and capitalization guidelines that improve readability and make translation more efficient; and how language technologies such as controlled-authoring software can
facilitate the adoption of Global English as a corporate standard.
This text is intended for anyone who uses written English to communicate technical information to a global audience. Technical writers, technical editors, science writers, and training instructors are just a few of the professions for which this book is essential reading. Even if producing technical information is not your primary job function, the Global English guidelines can help you communicate more effectively with colleagues around the world.
This book is part of the SAS Press program.
Аннотация
This straightforward guide to PROC TEMPLATE shows you how to build your own custom styles and tables in SAS. You'll learn how to create new styles to match your organization's standards or simply to increase your report's aesthetic potential build custom tables with complex structures and traffic lighting to make them easier to read and interpret manage your templates and share them with other SAS users
Written for all levels of users, PROC TEMPLATE Made Easy guides you through the process of writing templates. Beginners will benefit from learning how to do so from the ground up. Intermediate and advanced users will learn the more complex features of PROC TEMPLATE as well as how to use styles in the Base SAS reporting procedures. This book explains how PROC TEMPLATE saves templates and teaches you how to create shareable template stores, allowing you to customize your working environment. The visual appendixes of all style attributes and graph colors serve as an essential reference for anyone using PROC TEMPLATE.
PROC TEMPLATE allows you to take advantage of all that the Output Delivery System has to offer, and PROC TEMPLATE Made Easy teaches you how.
This book is part of the SAS Press program.
Written for all levels of users, PROC TEMPLATE Made Easy guides you through the process of writing templates. Beginners will benefit from learning how to do so from the ground up. Intermediate and advanced users will learn the more complex features of PROC TEMPLATE as well as how to use styles in the Base SAS reporting procedures. This book explains how PROC TEMPLATE saves templates and teaches you how to create shareable template stores, allowing you to customize your working environment. The visual appendixes of all style attributes and graph colors serve as an essential reference for anyone using PROC TEMPLATE.
PROC TEMPLATE allows you to take advantage of all that the Output Delivery System has to offer, and PROC TEMPLATE Made Easy teaches you how.
This book is part of the SAS Press program.
Аннотация
Understanding your customers is the key to your company’s success!
Segmentation is one of the first and most basic machine learning methods. It can be used by companies to understand their customers better, boost relevance of marketing messaging, and increase efficacy of predictive models. In Customer Segmentation and Clustering Using SAS Enterprise Miner, Third Edition, Randy Collica explains, in step-by-step fashion, the most commonly available techniques for segmentation using the powerful data mining software SAS Enterprise Miner.
A working guide that uses real-world data, this new edition will show you how to segment customers more intelligently and achieve the one-to-one customer relationship that your business needs. Step-by-step examples and exercises, using a number of machine learning and data mining techniques, clearly illustrate the concepts of segmentation and clustering in the context of customer relationship management.
The book includes four parts, each of which increases in complexity. Part 1 reviews the basics of segmentation and clustering at an introductory level, providing examples from a variety of industries. Part 2 offers an in-depth treatment of segmentation with practical topics, such as when and how to update your models. Part 3 goes beyond traditional segmentation practices to introduce recommended strategies for clustering product affinities, handling missing data, and incorporating textual records into your predictive model with SAS Text Miner. Finally, part 4 takes segmentation to a new level with advanced techniques, such as clustering of product associations, developing segmentation-scoring models from customer survey data, combining segmentations using ensemble segmentation, and segmentation of customer transactions.
New to the third edition is a chapter that focuses on predictive models within microsegments and combined segments, and a new parallel process technique is introduced using SAS Factory Miner. In addition, all examples have been updated to the latest version of SAS Enterprise Miner.
Segmentation is one of the first and most basic machine learning methods. It can be used by companies to understand their customers better, boost relevance of marketing messaging, and increase efficacy of predictive models. In Customer Segmentation and Clustering Using SAS Enterprise Miner, Third Edition, Randy Collica explains, in step-by-step fashion, the most commonly available techniques for segmentation using the powerful data mining software SAS Enterprise Miner.
A working guide that uses real-world data, this new edition will show you how to segment customers more intelligently and achieve the one-to-one customer relationship that your business needs. Step-by-step examples and exercises, using a number of machine learning and data mining techniques, clearly illustrate the concepts of segmentation and clustering in the context of customer relationship management.
The book includes four parts, each of which increases in complexity. Part 1 reviews the basics of segmentation and clustering at an introductory level, providing examples from a variety of industries. Part 2 offers an in-depth treatment of segmentation with practical topics, such as when and how to update your models. Part 3 goes beyond traditional segmentation practices to introduce recommended strategies for clustering product affinities, handling missing data, and incorporating textual records into your predictive model with SAS Text Miner. Finally, part 4 takes segmentation to a new level with advanced techniques, such as clustering of product associations, developing segmentation-scoring models from customer survey data, combining segmentations using ensemble segmentation, and segmentation of customer transactions.
New to the third edition is a chapter that focuses on predictive models within microsegments and combined segments, and a new parallel process technique is introduced using SAS Factory Miner. In addition, all examples have been updated to the latest version of SAS Enterprise Miner.
Аннотация
Hash objects, an efficient look-up tool in the SAS DATA step, are object-oriented programming structures that function differently from traditional SAS language statements. Michele Burlew's SAS Hash Object Programming Made Easy shows readers how to use these powerful features, which they can program to quickly look up and manage data and to conserve computing resources. SAS provides various look-up techniques, and hash objects are among the newest, so therefore many users may not have yet used them. Because the examples presented vary in complexity, SAS Hash Object Programming Made Easy is useful to SAS users of all experience levels, from novice programmer to advanced programmer. Novice programmers can adapt some of the simpler hash programming techniques as they develop their SAS programming skills. This book helps more experienced programmers learn how to take advantage of hash object programming by comparing traditional processing techniques to those that use hash objects. Additionally, users from diverse fields with different requirements can adapt the examples in SAS Hash Object Programming Made Easy to fit their unique situations.
This book is part of the SAS Press program.
This book is part of the SAS Press program.
Аннотация
Easy to read and comprehensive, Survival Analysis Using SAS: A Practical Guide, Second Edition, by Paul D. Allison, is an accessible, data-based introduction to methods of survival analysis. Researchers who want to analyze survival data with SAS will find just what they need with this fully updated new edition that incorporates the many enhancements in SAS procedures for survival analysis in SAS 9. Although the book assumes only a minimal knowledge of SAS, more experienced users will learn new techniques of data input and manipulation. Numerous examples of SAS code and output make this an eminently practical book, ensuring that even the uninitiated become sophisticated users of survival analysis. The main topics presented include censoring, survival curves, Kaplan-Meier estimation, accelerated failure time models, Cox regression models, and discrete-time analysis. Also included are topics not usually covered in survival analysis books, such as time-dependent covariates, competing risks, and repeated events.
Survival Analysis Using SAS: A Practical Guide, Second Edition, has been thoroughly updated for SAS 9, and all figures are presented using ODS Graphics. This new edition also documents major enhancements to the STRATA statement in the LIFETEST procedure; includes a section on the PROBPLOT command, which offers graphical methods to evaluate the fit of each parametric regression model; introduces the new BAYES statement for both parametric and Cox models, which allows the user to do a Bayesian analysis using MCMC methods; demonstrates the use of the counting process syntax as an alternative method for handling time-dependent covariates; contains a section on cumulative incidence functions; and describes the use of the new GLIMMIX procedure to estimate random-effects models for discrete-time data.
This book is part of the SAS Press program.
Survival Analysis Using SAS: A Practical Guide, Second Edition, has been thoroughly updated for SAS 9, and all figures are presented using ODS Graphics. This new edition also documents major enhancements to the STRATA statement in the LIFETEST procedure; includes a section on the PROBPLOT command, which offers graphical methods to evaluate the fit of each parametric regression model; introduces the new BAYES statement for both parametric and Cox models, which allows the user to do a Bayesian analysis using MCMC methods; demonstrates the use of the counting process syntax as an alternative method for handling time-dependent covariates; contains a section on cumulative incidence functions; and describes the use of the new GLIMMIX procedure to estimate random-effects models for discrete-time data.
This book is part of the SAS Press program.
Аннотация
For decades researchers and programmers have used SAS to analyze, summarize, and report clinical trial data. Now Chris Holland and Jack Shostak have updated their popular <i>Implementing CDISC Using SAS</i>, the first comprehensive book on applying clinical research data and metadata to the Clinical Data Interchange Standards Consortium (CDISC) standards. <p> <i>Implementing CDISC Using SAS: An End-to-End Guide, Revised Second Edition</i>, is an all-inclusive guide on how to implement and analyze the Study Data Tabulation Model (SDTM) and the Analysis Data Model (ADaM) data and prepare clinical trial data for regulatory submission. Updated to reflect the 2017 FDA mandate for adherence to CDISC standards, this new edition covers creating and using metadata, developing conversion specifications, implementing and validating SDTM and ADaM data, determining solutions for legacy data conversions, and preparing data for regulatory submission. The book covers products such as Base SAS, SAS Clinical Data Integration, and the SAS Clinical Standards Toolkit, as well as JMP Clinical. Topics included in this edition include an implementation of the Define-XML 2.0 standard, new SDTM domains, validation with Pinnacle 21 software, event narratives in JMP Clinical, STDM and ADAM metadata spreadsheets, and of course new versions of SAS and JMP software. The second edition was revised to add the latest C-Codes from the most recent release as well as update the make_define macro that accompanies this book in order to add the capability to handle C-Codes. The metadata spreadsheets were updated accordingly. <p> Any manager or user of clinical trial data in this day and age is likely to benefit from knowing how to either put data into a CDISC standard or analyzing and finding data once it is in a CDISC format. If you are one such person–a data manager, clinical and/or statistical programmer, biostatistician, or even a clinician–then this book is for you.
Аннотация
When it comes to business intelligence and analytical capabilities, SAS Visual Analytics is the premier solution for data discovery, visualization, and reporting. <i>An Introduction to SAS Visual Analytics</i> will show you how to make sense of your complex data with the goal of leading you to smarter, data-driven decisions without having to write a single line of code – unless you want to! You will be able to use SAS Visual Analytics to access, prepare, and present your data to anyone anywhere in the world. <p> SAS Visual Analytics automatically highlights key relationships, outliers, clusters, trends and more. These abilities will guide you to critical insights that inspire action from your data. With this book, you will become proficient using SAS Visual Analytics to present data and results in customizable, robust visualizations, as well as guided analyses through auto-charting. With interactive dashboards, charts, and reports, you will create visualizations which convey clear and actionable insights for any size and type of data. <p> This book largely focuses on the version of SAS Visual Analytics on SAS 9.4, although it is available on both 9.4 and SAS Viya platforms. Each version is considered the latest release, with subsequent releases planned to continue on each platform; hence, the Viya version works similarly to the 9.4 version and will look familiar. This book covers new features of each and important differences between the two. <p> With this book, you will learn how to: <ul> Build your first report using the SAS Visual Analytics Designer <li> Prepare a dashboard and determine the best layout <li> Effectively use geo-spatial objects to add location analytics to reports <li> Understand and use the elements of data visualizations <li> Prepare and load your data with the SAS Visual Analytics Data Builder <li> Analyze data with a variety of options, including forecasting, word clouds, heat maps, correlation matrix, and more <li> Understand administration activities to keep SAS Visual Analytics humming along <li> Optimize your environment for considerations such as scalability, availability, and efficiency between components of your SAS software deployment and data providers </ul>