Make the most of your SAS applications by taking advantage of metadata that is stored in a SAS Metadata Repository. You'll learn how to use the metadata engine to integrate your organization's metadata with your organization's physical data.

This manual is a task-oriented introduction to the main features of SAS Data Integration Studio. SAS Data Integration Studio is a visual design tool that enables you to consolidate and manage enterprise data from a variety of source systems, applications, and technologies. The audience for this manual is users who are responsible for data integration and who have a working knowledge of Base SAS software. This title is also available online.

Explains how to administer the SAS Web applications that run in the middle tier of the SAS Intelligence Platform. The Web applications include the SAS Information Delivery Portal, SAS Web Report Studio, and SAS Web OLAP Viewer for Java.This guide describes the middle-tier environment, provides sample deployment scenarios, and explains how to configure the Web applications for optimal performance. The guide contains instructions for common administrative tasks, such as configuring trusted Web authentication, as well as instructions for administering the individual Web applications. For example, the guide explains how to add content to the SAS Information Delivery Portal and how to control access to that content. This title is also available online.

The fun and easy way to learn to use this leading business intelligence tool Written by an author team who is directly involved with SAS, this easy-to-follow guide is fully updated for the latest release of SAS and covers just what you need to put this popular software to work in your business. SAS allows any business or enterprise to improve data delivery, analysis, reporting, movement across a company, data mining, forecasting, statistical analysis, and more. SAS For Dummies, 2nd Edition gives you the necessary background on what SAS can do for you and explains how to use the Enterprise Guide. SAS provides statistical and data analysis tools to help you deal with all kinds of data: operational, financial, performance, and more Places special emphasis on Enterprise Guide and other analytical tools, covering all commonly used features Covers all commonly used features and shows you the practical applications you can put to work in your business Explores how to get various types of data into the software and how to work with databases Covers producing reports and Web reporting tools, analytics, macros, and working with your data In the easy-to-follow, no-nonsense For Dummies format, SAS For Dummies gives you the knowledge and the confidence to get SAS working for your organization. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

Make the most of your SAS applications by taking advantage of metadata that is stored in a SAS Metadata Repository. You'll learn how to use the metadata engine to integrate your organization's metadata with your organization's physical data. This title explains how you can use the metadata engine as a single point of access to heterogeneous data sources without having to be aware of the engine-specific details; compares processing data using the metadata engine versus using a specific engine directly; explains how an administrator can control what data others are allowed to access; provides the SAS Metadata Model requirements in order to access metadata with the metadata engine; provides metadata requirements in order for the metadata engine to construct a LIBNAME statement for the underlying engine; and provides complete reference for the LIBNAME statement for the metadata engine as well as the data set options for the metadata engine. This title is also available online. This title is intended for users who have previous experience with SAS and have knowledge of SAS Open Metadata Architecture, including the SAS Metadata Server and a SAS Metadata Repository. Supports releases 9.1 and higher of SAS software.

Find everything you need to know about how to use and manage SAS/SHARE! SAS/SHARE is a multi-user data server that enables two or more clients to share the same SAS file at the same time. It is run in an environment in which multiple clients need to read from and write to records in the same SAS data set. With this title, you will learn how to use the transparent access that SAS/SHARE provides to remote data located in SAS files or in external files, regardless of the data representation of the SAS file. You will also learn how to combine and filter data to obtain the most efficient use of network and computing resources. New features described in this guide include the network security protocol Secure Sockets Layer (SSL), which encrypts data that is accessed between a client and a server; how a SAS/SHARE client that uses TCP/IP can identify a server by using a port number; and how a SAS/SHARE client can use an encoded password in any SAS/SHARE statement to identify the name of the node that the SAS/SHARE server runs on. Improved documentation about SAS system options that are relevant to SAS/SHARE, server log messages, and steps for creating the SAS/SHARE server environment under the UNIX and Windows operating environments is also included. This title is also available online. Supports releases 9.1 and higher of SAS software.

Methods and Applications of Statistics in Clinical Trials, Volume 2: Planning, Analysis, and Inferential Methods includes updates of established literature from the Wiley Encyclopedia of Clinical Trials as well as original material based on the latest developments in clinical trials. Prepared by a leading expert, the second volume includes numerous contributions from current prominent experts in the field of medical research. In addition, the volume features: • Multiple new articles exploring emerging topics, such as evaluation methods with threshold, empirical likelihood methods, nonparametric ROC analysis, over- and under-dispersed models, and multi-armed bandit problems • Up-to-date research on the Cox proportional hazard model, frailty models, trial reports, intrarater reliability, conditional power, and the kappa index • Key qualitative issues including cost-effectiveness analysis, publication bias, and regulatory issues, which are crucial to the planning and data management of clinical trials

This title describes the major components of the SAS Open Metadata Architect and provides the basic information that you need to write SAS Open Metadata Interface clients. It describes the SAS Metadata Model metadata types, namespaces, method classes, call interfaces, and open client requirements. The SAS Open Metadata Interface is an XML language interface. SAS also provides family of SAS Language Metadata Interfaces, which are SAS Open Metadata Interface clients. The book also contains reference information about these clients, which include the METADATA and METAOPERATE procedures, the SAS Metadata DATA step functions, and SAS Metadata system options. This title is also available free online.

SAS Programming for R Users, based on the free SAS Education course of the same name, is designed for experienced R users who want to transfer their programming skills to SAS. Emphasis is on programming and not statistical theory or interpretation. You will learn how to write programs in SAS that replicate familiar functions and capabilities in R. This book covers a wide range of topics including the basics of the SAS programming language, how to import data, how to create new variables, random number generation, linear modeling, Interactive Matrix Language (IML), and many other SAS procedures. This book also explains how to write R code directly in the SAS code editor for seamless integration between the two tools. Exercises are provided at the end of each chapter so that you can test your knowledge and practice your programming skills.