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1. |  Custom Tasks for SAS Enterprise Guide Using Microsoft .NET By: Chris Hemedinger Publisher: SAS Institute Publication Date: 07-JAN-2013 Insert Date: 19-MAR-2013 Slots: 1.0 | Overview: Custom Tasks for SAS Enterprise Guide Using Microsoft .NET
Takes readers step-by-step through the process of creating custom tasks for use in SAS Enterprise Guide and SAS Add-In for Microsoft Office. Using standard off-the-shelf development tools for Microsoft .NET, you'll learn how you can hook in your custom processes and make them available to a wide range of SAS users.
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2. |  By: Peter Taylor Publisher: Infinite Ideas Publication Date: 02-JAN-2013 Insert Date: 24-FEB-2013 Slots: 1.0 | Overview: The Thirty-Six Stratagems
The 36 Stratagems is a Chinese essay used to illustrate a series of stratagems used in politics and in war, as well as in civilian life, often through unorthodox means. Approximately 300 years ago an unknown scholar compiled the stratagems, a strangely seductive meditation on deception. The stratagems are ordered in categories according to your current position. 'Advantageous Stratagems', 'Opportunistic Stratagems' and 'Attacking Stratagems' are used when you are in a winning situation. 'Confusion Stratagems', 'Deception Stratagems' and 'Desperate Stratagems' are used when you are in a...
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3. |  Implementing CDISC Using SAS: An End-to-End Guide By: Chris Holland; Jack Shostak Publisher: SAS Institute Publication Date: 23-NOV-2012 Insert Date: 24-FEB-2013 Slots: 1.0 | Overview: Implementing CDISC Using SAS: An End-to-End Guide
An all-inclusive guide on how to implement and analyze Study Data Tabulation Model (SDTM) and Analysis Data Model (ADaM) data and prepare clinical trial data for regulatory submissions. Topics covered include 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.
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4. |  Carpenter's Guide to Innovative SAS Techniques By: Art Carpenter Publisher: SAS Institute Publication Date: 16-MAR-2012 Insert Date: 24-FEB-2013 Slots: 1.0 | Overview: Carpenter's Guide to Innovative SAS Techniques
Offers advanced SAS programmers an all-in-one programming reference that includes advanced topics not easily found outside the depths of SAS documentation or more advanced training classes.
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5. |  The Little SAS® Book: A Primer By: Lora D. Delwiche; Susan J. Slaughter Publisher: SAS Institute Publication Date: 12-OCT-2012 Insert Date: 11-FEB-2013 Slots: 1.0 | Overview: The Little SAS® Book: A Primer
A classic that just keeps getting better, The Little SAS Book is essential for anyone learning SAS programming. Lora Delwiche and Susan Slaughter offer a user-friendly approach so readers can quickly and easily learn the most commonly used features of the SAS language. Each topic is presented in a self-contained, two-page layout complete with examples and graphics.
The fifth edition has been completely updated to reflect the new default output introduced with SAS 9.3. In addition, there is a now a full chapter devoted to ODS Graphics including the SGPLOT and SGPANEL procedures. Other...
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6. |  PROC DOCUMENT by Example Using SAS® By: Michael Tuchman Publisher: SAS Institute Publication Date: 02-NOV-2012 Insert Date: 11-FEB-2013 Slots: 1.0 | Overview: PROC DOCUMENT by Example Using SAS®
Explains how to work with the DOCUMENT procedure, which is designed to store your SAS procedure output for replay at a later time without having to re-run your original SAS code.
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7. |  Applied Data Mining for Forecasting Using SAS® By: Tim Rey; Arthur Kordon; Chip Wells Publisher: SAS Institute Publication Date: 01-AUG-2012 Insert Date: 11-FEB-2013 Slots: 1.0 | Overview: Applied Data Mining for Forecasting Using SAS®
Written for forecasting practitioners, engineers, statisticians, and economists, the book details how to select useful candidate input variables for time series regression models in environments when the number of candidates is large and identifies the correlation structure between selected candidate inputs and the forecast variable.
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8. |  Cody's Collection of Popular SAS Programming Tasks and How to Tackle Them By: Ron Cody Publisher: SAS Institute Publication Date: 02-OCT-2012 Insert Date: 30-JAN-2013 Slots: 1.0 | Overview: Cody's Collection of Popular SAS Programming Tasks and How to Tackle Them
Cody's Collection of Popular SAS Programming Tasks and How to Tackle Them presents often-used programming tasks that readers can either use as presented or modify to fit their own programs, all in one handy volume. Esteemed author and SAS expert Ron Cody covers such topics as character to numeric conversion, automatic detection of numeric errors, combining summary data with detail data, restructuring a data set, grouping values using several innovative methods, performing an operation on all character or all numeric variables in a SAS data set, and much more! SAS users of all levels...
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9. |  Analyzing Receiver Operating Characteristic Curves with SAS By: Mithat Gonen Publisher: SAS Institute Publication Date: 10-OCT-2007 Insert Date: 30-JAN-2013 Slots: 1.0 | Overview: Analyzing Receiver Operating Characteristic Curves with SAS
In this example-laden book, author Mithat Günen illustrates the existing SAS procedures that can be tailored to produce ROC curves and expands upon further analyses using other SAS procedures and macros. Both parametric and nonparametric methods for analyzing ROC curves are covered in detail.
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10. |  Data Quality for Analytics Using SAS By: Dr. Gerhard Svolba Publisher: SAS Institute Publication Date: 27-APR-2012 Insert Date: 24-JAN-2013 Slots: 1.0 | Overview: Data Quality for Analytics Using SAS
Analytics offers many capabilities and options to measure and improve data quality, and SAS is perfectly suited to these tasks. Gerhard Svolba's Data Quality for Analytics Using SAS focuses on selecting the right data sources and ensuring data quantity, relevancy, and completeness. The book is made up of three parts. The first part, which is conceptual, defines data quality and contains text, definitions, explanations, and examples. The second part shows how the data quality status can be profiled and the ways that data quality can be improved with analytical methods. The final part...
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11. |  JSL Companion: Applications of the JMP Scripting Language By: Theresa L. Utlaut; Georgia Z. Morgan; Kevin C. Anderson Publisher: SAS Institute Publication Date: 23-DEC-2011 Insert Date: 16-DEC-2012 Slots: 1.0 | Overview: JSL Companion: Applications of the JMP Scripting Language
JSL Companion: Applications of the JMP Scripting Language provides novice scripters with a resource that helps them go beyond the basics of the JMP Scripting Language (JSL) and serves as a companion to writing applications. Taking a task-oriented approach rather than focusing on showing the syntax, the authors help users with much more than the basic task of capturing a script. The book starts with an introduction that is suitable for someone who is just beginning to learn JSL. It quickly moves to importing and saving data, working with variables, modifying data tables, and working with...
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12. |  SAS Hash Object Programming Made Easy By: Michele M. Burlew Publisher: SAS Institute Publication Date: 14-SEP-2012 Insert Date: 16-DEC-2012 Slots: 1.0 | Overview: SAS Hash Object Programming Made Easy
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...
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13. |  Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS By: Edward F. Vonesh Publisher: SAS Institute Publication Date: 03-SEP-2012 Insert Date: 16-DEC-2012 Slots: 1.0 | Overview: Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS
Edward F. Vonesh's Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS is devoted to the analysis of correlated response data using SAS, with special emphasis on applications that require the use of generalized linear models or generalized nonlinear models. Written in a clear, easy-to-understand manner, it provides applied statisticians with the necessary theory, tools, and understanding to conduct complex analyses of continuous and/or discrete correlated data in a longitudinal or clustered data setting. Using numerous and complex examples, the...
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14. |  Building Business Intelligence Using SAS: Content Development Examples By: Tricia Aanderud; Angela Hall Publisher: SAS Institute Publication Date: 25-JAN-2012 Insert Date: 08-DEC-2012 Slots: 1.0 | Overview: Building Business Intelligence Using SAS: Content Development Examples
Focusing on the SAS BI client, the authors provide a quick-start guide loaded with examples and tips that will help users move quickly from using only one BI client tool to using a significant portion of the system.
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15. |  SAS Encoding: Understanding the Details By: Manfred Kiefer Publisher: SAS Institute Publication Date: 05-MAY-2012 Insert Date: 06-NOV-2012 Slots: 1.0 | Overview: SAS Encoding: Understanding the Details
Explains the basic concepts of characters, encodings, glyphs, and fonts and gives practical examples for how to troubleshoot encoding problems, thereby helping readers solve encoding problems.
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16. |  JMP 10 Basic Analysis and Graphing, Second Edition By: SAS Institute Publisher: SAS Institute Publication Date: 06-JUL-2012 Insert Date: 22-SEP-2012 Slots: 1.0 | Overview: JMP 10 Basic Analysis and Graphing, Second Edition
In JMP, you choose from a wide repertoire of interactive graphs to help your data best tell its story. Delve into JMP 10 Basic Analysis and Graphing to find the ideal graph for your data, from basic distributions, bubble plots, scatterplots, and parallel plots to geographic maps and tree maps.
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17. |  By: SAS Institute Publisher: SAS Institute Publication Date: 01-MAR-2012 Insert Date: 03-SEP-2012 Slots: 1.0 | Overview: Discovering JMP 10
Discovering JMP for JMP 10 provides a basic introduction to using JMP. For new users of JMP, this is a great place to start. This book also includes initial instructions on working with your data, visualizing your data, analyzing your data, and saving and sharing your work
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18. |  By: SAS Institute Publisher: SAS Institute Publication Date: 01-MAR-2012 Insert Date: 03-SEP-2012 Slots: 1.0 | Overview: Using JMP 10
Using JMP for JMP 10 includes instructions for performing common tasks such as manipulating files, entering and managing data, transforming data table columns, exporting graphical reports, saving analyses as scripts, integrating with SAS, and more. This book also includes a reference for functions available in the Formula Editor.
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19. |  By: SAS Institute Publisher: SAS Institute Publication Date: 01-MAR-2012 Insert Date: 03-SEP-2012 Slots: 1.0 | Overview: JMP 10 Scripting Guide
The JMP 10 Scripting Guide provides extensive instructions for using the powerful JMP Scripting Language (JSL). This book begins with an introduction to JSL terminology, examples of how to write your own scripts, and details on script development tools such as the debugger and editor. A description of the language elements follows along with examples of writing JSL scripts to manipulate data tables, platforms, display objects, three-dimensional graphs, and matrices. Learn how to integrate JMP with SAS, R, and Microsoft Excel. Design applications in a drag-and-drop interface called...
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20. |  JMP 10 Design of Experiments Guide By: SAS Institute Publisher: SAS Institute Publication Date: 01-MAR-2012 Insert Date: 03-SEP-2012 Slots: 1.0 | Overview: JMP 10 Design of Experiments Guide
The JMP 10 Design of Experiments Guide contains information about the JMP Design of Experiments (DOE) platform, including the JMP Custom Designer. This book covers a wide variety of designs including design evaluation, screening, response surface, full factorial, discrete choice, space-filling, non-linear, Taguchi, augmented, mixture designs, and more.
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