SAS Programming

The One-Day Course

Author: Neil H. Spencer

Publisher: CRC Press

ISBN: 9780203499283

Category: Mathematics

Page: 208

View: 7353

Aimed at researchers and students , SAS Programming: The One-Day Course provides an introduction to the SAS programming language. It gives the reader a start in SAS programming and the basic data manipulations and statistical summaries that are available through SAS. The book has its origins in material prepared by the author for a one-day course in SAS programming, and the fact that it has been developed from a training course is reflected in the concise nature of the presentation. Unlike other introductory competitors on the market, this is a pocket-sized reference that does not clutter the programming techniques presented by trying to teach statistical techniques at the same time. Strong on explanations of how to carry out data manipulations that real-life data often call for, each programming technique is supported by tasks to develop skills and confidence. It also contains "tasks" for the reader, complete with solutions. Datasets and the programming code are available to download from www.crcpress.com/e_products/downloads. Once readers have mastered the topics covered in the book, they will be well placed to learn further aspects of SAS programming.

SAS Certification Prep Guide

Base Programming for SAS9, Fourth Edition

Author: SAS Institute

Publisher: SAS Institute

ISBN: 1635264685

Category: Computers

Page: 582

View: 7923

Prepare for the SAS Base Programming for SAS 9 exam with the official guide by the SAS Global Certification Program. New and experienced SAS users who want to prepare for the SAS Base Programming for SAS 9 exam will find this guide to be an invaluable, convenient, and comprehensive resource that covers all of the objectives tested on the exam. Now in its fourth edition, the guide has been extensively updated, and revised to streamline explanations. Major topics include importing and exporting raw data files, creating and modifying SAS data sets, and identifying and correcting data syntax and programming logic errors. The chapter quizzes have been thoroughly updated and full solutions are included at the back of the book. In addition, links are provided to the exam objectives, practice exams, and other helpful resources, such as the updated Base SAS glossary and an expanded collection of practice data sets. Content updates are available here.

SAS Programming 1

Essentials Course Notes

Author: SAS Publishing

Publisher: SAS Institute

ISBN: 9781607641940

Category: SAS (Computer file)

Page: N.A

View: 3087

Learning SAS by Example

A Programmer's Guide, Second Edition

Author: Ron Cody

Publisher: SAS Institute

ISBN: 1635266564

Category: Computers

Page: 536

View: 6213

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.

The Little SAS Book

A Primer, Fifth Edition

Author: Lora D. Delwiche,Susan J. Slaughter

Publisher: SAS Institute

ISBN: 1612904009

Category: Computers

Page: 376

View: 4373

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 changes include expanded coverage of linguistic sorting and a new section on concatenating macro variables with other text. This book is a great tool for users of SAS 9.4 as well. This title belongs on every SAS programmer's bookshelf. It's a resource not just to get you started, but one you'll return to as you continue to improve your programming skills. This book is part of the SAS Press program.

Administrative Healthcare Data

A Guide to Its Origin, Content, and Application Using SAS

Author: Craig Dickstein,Renu Gehring

Publisher: SAS Institute

ISBN: 1629593818

Category: Mathematics

Page: 250

View: 7940

Provides a concise yet complete foundational knowledge of the business of healthcare. Administrative Healthcare Data: A Guide to Its Origin, Content, and Application Using SAS explains the source and content of administrative healthcare data, which is the product of financial reimbursement for healthcare services. The book integrates the business knowledge of healthcare data with practical and pertinent case studies as shown in SAS Enterprise Guide. The book's blend of SAS programming and industry knowledge is unique. It illustrates concepts of administrative healthcare data with actual healthcare case studies. All applications are created with SAS Enterprise Guide or Base SAS and can be taken straight from the book and put to use immediately. Central topics addressed include key players in the healthcare industry and the roles they play; claim submission mechanisms used by different providers; medical claim content, both pre- and post-adjudication. Written for healthcare analysts regardless of their level of proficiency with SAS Enterprise Guide, SAS programming, or healthcare industry knowledge, Administrative Healthcare Data is a must-read for analysts new to the industry and a great review for experienced healthcare analysts. This book is part of the SAS Press program.

SAS for Epidemiologists

Applications and Methods

Author: Charles DiMaggio

Publisher: Springer Science & Business Media

ISBN: 1461448549

Category: Mathematics

Page: 258

View: 5449

This comprehensive text covers the use of SAS for epidemiology and public health research. Developed with students in mind and from their feedback, the text addresses this material in a straightforward manner with a multitude of examples. It is directly applicable to students and researchers in the fields of public health, biostatistics and epidemiology. Through a “hands on” approach to the use of SAS for a broad number of epidemiologic analyses, readers learn techniques for data entry and cleaning, categorical analysis, ANOVA, and linear regression and much more. Exercises utilizing real-world data sets are featured throughout the book. SAS screen shots demonstrate the steps for successful programming. SAS (Statistical Analysis System) is an integrated system of software products provided by the SAS institute, which is headquartered in California. It provides programmers and statisticians the ability to engage in many sophisticated statistical analyses and data retrieval and mining exercises. SAS is widely used in the fields of epidemiology and public health research, predominately due to its ability to reliably analyze very large administrative data sets, as well as more commonly encountered clinical trial and observational research data.

The DS2 Procedure: SAS Programming Methods at Work

Author: Peter Eberhardt

Publisher: SAS Institute

ISBN: 1629602221

Category: Computers

Page: 124

View: 7169

The issue facing most SAS programmers today is not that data space has become bigger ("Big Data" ), but that our programming problem space has become bigger. Through the power of DS2, this book shows programmers how easily they can manage complex problems using modular coding techniques. The DS2 Procedure: SAS Programming Methods at Work outlines the basic structure of a DS2 program and teaches you how each component can help you address problems. The DS2 programming language in SAS 9.4 simplifies and speeds data preparation with user-defined methods, storing methods and attributes in shareable packages, and threaded execution on multicore symmetric multiprocessing (SMP) and massively parallel processing (MPP) machines. This book is intended for all BASE SAS programmers looking to learn about DS2; readers need only an introductory level of SAS to get started. Topics covered include introductions to Object Oriented Programming methods, DATA step programs, user-defined methods, predefined packages, and threaded processing.

SAS for Data Analysis

Intermediate Statistical Methods

Author: Mervyn G. Marasinghe,William J. Kennedy

Publisher: Springer Science & Business Media

ISBN: 9780387773728

Category: Mathematics

Page: 558

View: 656

This book is intended for use as the textbook in a second course in applied statistics that covers topics in multiple regression and analysis of variance at an intermediate level. Generally, students enrolled in such courses are p- marily graduate majors or advanced undergraduate students from a variety of disciplines. These students typically have taken an introductory-level s- tistical methods course that requires the use a software system such as SAS for performing statistical analysis. Thus students are expected to have an - derstanding of basic concepts of statistical inference such as estimation and hypothesis testing. Understandably, adequate time is not available in a ?rst course in stat- tical methods to cover the use of a software system adequately in the amount of time available for instruction. The aim of this book is to teach how to use the SAS system for data analysis. The SAS language is introduced at a level of sophistication not found in most introductory SAS books. Important features such as SAS data step programming, pointers, and line-hold spe- ?ers are described in detail. The powerful graphics support available in SAS is emphasized throughout, and many worked SAS program examples contain graphic components.

SAS 9 Study Guide

Preparing for the Base Programming Certification Exam for SAS 9

Author: Ali Hezaveh

Publisher: John Wiley & Sons

ISBN: 9781118030615

Category: Study Aids

Page: 235

View: 7960

A thorough and self-contained treatment for SAS® users preparing for the Base Programming Certification Exam for SAS® 9—complete with explanations, tips, and practice exam questions SAS® 9 Study Guide is designed to help users of SAS® 9 become familiar with the fine points of the software as well as develop solid study strategies that will shorten preparation time and ensure successful exam results. The following five study topics are addressed with a focused chapter devoted to each: accessing data; creating data structures; managing data; generating reports; and handling errors. SAS® 9 Study Guide provides both a conceptual and practical approach to each of these areas with detailed explanations followed by examples. Each chapter presents concepts, processes, and applications in a clear, step-by-step format along with detailed explanations and examples. Individual chapters also contain: A Two-Minute Drill that provides a checklist of key points for review An Assessment Exam, which challenges readers to provide short answers detailingthe chapter's coverage of SAS® 9 A Practice Exam, which reinforces content and familiarizes readers with the structure ofthe actual Base Programming Certification Exam Written by a practicing SAS® Certified Professional, this book is an intensive, but accessible, review for preparing for the Base Programming Certification Exam for SAS® 9 and can also serve as a practical reference tool for established certified professionals who would like to further their knowledge of SAS® 9.

Statistical Programming in SAS

Author: A. John Bailer

Publisher: SAS Institute

ISBN: 9781607645047

Category: Computers

Page: 460

View: 4013

In this guide, the author integrates SAS tools with interesting statistical applications and uses SAS 9.2 as a platform to introduce programming ideas for statistical analysis, data management, and data display and simulation.

Beginning SAS Programming

A True Beginner's Guide for Learning SAS

Author: Yufeng Guo

Publisher: CreateSpace

ISBN: 9781514218990

Category:

Page: 384

View: 3295

My support site is saszero2hero.com. Despite the popularity of R and Python, many large private companies in insurance, banking, and pharmaceutical industries, to name a few, still predominantly use SAS. If you plan to work or are already working in one of the companies that use SAS for data manipulation and analysis, you might want to learn SAS. However, for many, SAS is much harder to learn than Visual Basic, Java, and Python. The good news is that because SAS is difficult to learn there's a shortage of SAS programming talents in many places across the globe. Learning SAS can open new career opportunities for you, even if you already know R and Python. If you are a complete beginner wanting to learn SAS and boost your career in the big data field, this book is for you. In this book, I'll teach you SAS programming from the ground up starting from a Hello World program. My goal is to transform you from knowing nothing about SAS into an advanced SAS programmer. Follow this book and learn SAS today.

Building Business Intelligence Using SAS

Content Development Examples

Author: Tricia Aanderud,Angela Hall

Publisher: SAS Institute

ISBN: 1607649942

Category: Mathematics

Page: 378

View: 1001

Business intelligence (BI) software provides an interface for multiple audiences to dissect, discover, and decide what the data means. These reporting tools make dynamic information available to all users, giving everyone the ability to manipulate results and further understand the business. There is significant power in reducing the data gatekeeper role in your organization so that each person can quickly interact with data and uncover additional value. SAS offers a BI solution that provides mechanisms to reach every level of the organization. Each tool in this solution provides a different amount of complexity and functionality to aid a broad deployment. Building Business Intelligence Using SAS: Content Development Examples, by Tricia Aanderud and Angela Hall, clarifies how you can fully leverage each SAS BI solution component to ensure a successful implementation. Focusing on the SAS BI Clients, the authors provide a quick-start guide loaded with examples and tips that will help users move quickly from using only one of the SAS BI Clients to using a significant portion of the system. So if you are a SAS BI or SAS Enterprise BI user, but you aren't yet using all the components of the solution, this book is the resource that you need. In addition, the tips and techniques provided in this book will prove invaluable for advanced SAS BI and SAS Enterprise BI users who are studying for SAS Certified BI Content Developer certification. This book is part of the SAS Press program.

Applied Econometrics Using the SAS System

Author: Vivek Ajmani

Publisher: John Wiley & Sons

ISBN: 1118210328

Category: Mathematics

Page: 328

View: 5841

The first cutting-edge guide to using the SAS® system for the analysis of econometric data Applied Econometrics Using the SAS® System is the first book of its kind to treat the analysis of basic econometric data using SAS®, one of the most commonly used software tools among today's statisticians in business and industry. This book thoroughly examines econometric methods and discusses how data collected in economic studies can easily be analyzed using the SAS® system. In addition to addressing the computational aspects of econometric data analysis, the author provides a statistical foundation by introducing the underlying theory behind each method before delving into the related SAS® routines. The book begins with a basic introduction to econometrics and the relationship between classical regression analysis models and econometric models. Subsequent chapters balance essential concepts with SAS® tools and cover key topics such as: Regression analysis using Proc IML and Proc Reg Hypothesis testing Instrumental variables analysis, with a discussion of measurement errors, the assumptions incorporated into the analysis, and specification tests Heteroscedasticity, including GLS and FGLS estimation, group-wise heteroscedasticity, and GARCH models Panel data analysis Discrete choice models, along with coverage of binary choice models and Poisson regression Duration analysis models Assuming only a working knowledge of SAS®, this book is a one-stop reference for using the software to analyze econometric data. Additional features include complete SAS® code, Proc IML routines plus a tutorial on Proc IML, and an appendix with additional programs and data sets. Applied Econometrics Using the SAS® System serves as a relevant and valuable reference for practitioners in the fields of business, economics, and finance. In addition, most students of econometrics are taught using GAUSS and STATA, yet SAS® is the standard in the working world; therefore, this book is an ideal supplement for upper-undergraduate and graduate courses in statistics, economics, and other social sciences since it prepares readers for real-world careers.

How to Become a Top SAS Programmer

Author: Michael A. Raithel

Publisher: SAS Institute

ISBN: 1612901042

Category: Computers

Page: 184

View: 7104

How to Become a Top SAS Programmer is designed to help SAS programmers maximize their value to an organization. Users will gain a better understanding of the SAS resources available to them so that they can enhance their SAS skills and knowledge, thereby becoming better SAS programmers. How to Become a Top SAS Programmer is designed to help SAS programmers maximize their value to an organization. Users will gain a better understanding of the SAS resources available to them so that they can enhance their SAS skills and knowledge, thereby becoming better SAS programmers.

SAS Applications Programming

A Gentle Introduction

Author: Frank C. DiIorio

Publisher: Duxbury Resource Center

ISBN: 9780534499709

Category: Computers

Page: 684

View: 3447

Discovering Statistics Using SAS

Author: Andy Field,Jeremy Miles

Publisher: SAGE

ISBN: 9781446242230

Category: Reference

Page: 752

View: 4365

Hot on the heels of the 3rd edition of Andy Field's award-winning Discovering Statistics Using SPSS comes this brand new version for students using SAS®. Andy has teamed up with a co-author, Jeremy Miles, to adapt the book with all the most up-to-date commands and programming language from SAS® 9.2. If you're using SAS®, this is the only book on statistics that you will need! The book provides a comprehensive collection of statistical methods, tests and procedures, covering everything you're likely to need to know for your course, all presented in Andy's accessible and humourous writing style. Suitable for those new to statistics as well as students on intermediate and more advanced courses, the book walks students through from basic to advanced level concepts, all the while reinforcing knowledge through the use of SAS®. A 'cast of characters' supports the learning process throughout the book, from providing tips on how to enter data in SAS® properly to testing knowledge covered in chapters interactively, and 'real world' and invented examples illustrate the concepts and make the techniques come alive. The book's companion website (see link above) provides students with a wide range of invented and real published research datasets. Lecturers can find multiple choice questions and PowerPoint slides for each chapter to support their teaching.

The Book of R

A First Course in Programming and Statistics

Author: Tilman M. Davies

Publisher: No Starch Press

ISBN: 1593277792

Category: Computers

Page: 832

View: 9641

The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.

Big Data Analytics with SAS

Get actionable insights from your Big Data using the power of SAS

Author: David Pope

Publisher: Packt Publishing Ltd

ISBN: 1788294319

Category: Computers

Page: 266

View: 1360

Leverage the capabilities of SAS to process and analyze Big Data About This Book Combine SAS with platforms such as Hadoop, SAP HANA, and Cloud Foundry-based platforms for effecient Big Data analytics Learn how to use the web browser-based SAS Studio and iPython Jupyter Notebook interfaces with SAS Practical, real-world examples on predictive modeling, forecasting, optimizing and reporting your Big Data analysis with SAS Who This Book Is For SAS professionals and data analysts who wish to perform analytics on Big Data using SAS to gain actionable insights will find this book to be very useful. If you are a data science professional looking to perform large-scale analytics with SAS, this book will also help you. A basic understanding of SAS will be helpful, but is not mandatory. What You Will Learn Configure a free version of SAS in order do hands-on exercises dealing with data management, analysis, and reporting. Understand the basic concepts of the SAS language which consists of the data step (for data preparation) and procedures (or PROCs) for analysis. Make use of the web browser based SAS Studio and iPython Jupyter Notebook interfaces for coding in the SAS, DS2, and FedSQL programming languages. Understand how the DS2 programming language plays an important role in Big Data preparation and analysis using SAS Integrate and work efficiently with Big Data platforms like Hadoop, SAP HANA, and cloud foundry based systems. In Detail SAS has been recognized by Money Magazine and Payscale as one of the top business skills to learn in order to advance one's career. Through innovative data management, analytics, and business intelligence software and services, SAS helps customers solve their business problems by allowing them to make better decisions faster. This book introduces the reader to the SAS and how they can use SAS to perform efficient analysis on any size data, including Big Data. The reader will learn how to prepare data for analysis, perform predictive, forecasting, and optimization analysis and then deploy or report on the results of these analyses. While performing the coding examples within this book the reader will learn how to use the web browser based SAS Studio and iPython Jupyter Notebook interfaces for working with SAS. Finally, the reader will learn how SAS's architecture is engineered and designed to scale up and/or out and be combined with the open source offerings such as Hadoop, Python, and R. By the end of this book, you will be able to clearly understand how you can efficiently analyze Big Data using SAS. Style and approach The book starts off by introducing the reader to SAS and the SAS programming language which provides data management, analytical, and reporting capabilities. Most chapters include hands on examples which highlights how SAS provides The Power to Know©. The reader will learn that if they are looking to perform large-scale data analysis that SAS provides an open platform engineered and designed to scale both up and out which allows the power of SAS to combine with open source offerings such as Hadoop, Python, and R.