The Little SAS Book for Enterprise Guide 4.2
Whether you are using SAS Enterprise Guide for the first time or transitioning to the newest release, this is the book for you! With The Little SAS Book for Enterprise Guide 4.2, award-winning authors Susan Slaughter and Lora Delwiche help you quickly become productive in the SAS Enterprise Guide point-and-click environment. A series of...
SAS/STAT 9.22 User's Guide:: The PHREG Procedure (Book Excerpt)
The PHREG procedure performs regression analysis of survival data based on the Cox proportional hazards model and its extensions.
The analysis of survival data requires special techniques because the data are almost always incomplete and familiar parametric assumptions might be unjustifiable. Investigators follow subjects until...
SAS Programming in the Pharmaceutical Industry
This book was written for the entry- to intermediate-level SAS programmer who helps
with the analysis and reporting of clinical trial data in the pharmaceutical industry. The
industry may call this individual a “SAS programmer,” “clinical SAS programmer,”
Carpenter's Complete Guide to the SAS Macro Language, 2nd Edition
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, Carpenter's Complete Guide to the SAS Macro Language, Second Edition, is filled with ready-to-use macros, macro functions,...
Practical Data Analysis with JMP
Being an effective analyst or a well-informed consumer of analyses requires that you know how to properly define the problem, apply suitable statistical techniques, and clearly and honestly communicate the results. Being a well-informed consumer of analyses requires the same skills so that you can recognize them in action. Robert Carver's...
Introduction to Data Mining Using SAS Enterprise Miner
If you have an abundance of data, but no idea what to do with it, this book was written for you! Packed with examples from an array of industries, Introduction to Data Mining Using SAS Enterprise Miner provides you with excellent starting points and practical guidelines to begin data mining today. Author Patricia Cerrito encourages you to...
Just Enough SAS: A QuickStart Guide to SAS for Engineers
SAS is not difficult to learn, but it is a lot to learn. There are so many different SAS products,
procedures, and options that it’s difficult to know where to start, and it’s easy to invest a lot of
time in learning before you reach the point of being able to use SAS effectively to do really useful
Sales and Distribution in SAP ERP: Practical Guide
In today's competitive environment, the ability to handle business processes cost-
effectively is critical. Sales and Distribution in SAP ERP (which, in this book, we'll
refer to as SD) offers such a set of tools. As one of the most important and most
often implemented SAP logistics functionalities, SD makes information... SAS/STAT 9.2 User's Guide: Statistical Graphics Using ODS (Book Excerpt)
Effective graphics are indispensable for modern statistical analysis. They reveal patterns, differences,
and uncertainty that are not readily apparent in tabular output. Graphics provoke questions
that stimulate deeper investigation, and they add visual clarity and rich content to reports and presentations.
SAS/GRAPH 9.1 Reference, Volumes 1 and 2 This text provides a detailed introduction to SAS/GRAPH, complete information about each SAS/GRAPH statement and procedure, as well as information about the DATA step graphics interface, complete with example programs.
SAS/GRAPH software extends the power of SAS' data management and analytical tools, giving you the ability to turn data...
Using JMP 12
Using JMP 12 shows you how to perform common tasks such as importing data, setting column properties, exporting analyses as graphics or HTML, and modifying JMP preferences. Details about connecting to SAS and working in the Formula Editor are also provided....
JMP 12 Specialized Models
JMP 12 Specialized Models provides details about modeling techniques such as partitioning, neural networks, nonlinear regression, and time series analysis. Topics include the Gaussian platform, which is useful in analyzing computer simulation experiments. The book also covers the Response Screening platform, which is useful in testing the...
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