Read and Download eBook Full
Author: Darlynn Lafler
Publisher: Apress
Published: 2002-09-20
Total Pages: 318
ISBN-13: 1430211555
DOWNLOAD EBOOKLafler's book provides SAS users (Version 8.2) with a wonderful collection of tips, undocumented or hard-to-find tidbits of information, and other useful techniques in more than 1,000 entries.
Author: Lynne Edwards
Publisher: CRC Press
Published: 1993-06-16
Total Pages: 652
ISBN-13: 9780824788964
DOWNLOAD EBOOKA reference devoted to the discussion of analysis of variance (ANOVA) techniques. It presents ANOVA as a research design, a collection of statistical models, an analysis model, and an arithmetic summary of data. Discussion focuses primarily on univariate data, but multivariate generalizations are to
Author: Philip R. Holland
Publisher: Apress
Published: 2015-08-19
Total Pages: 251
ISBN-13: 1484205685
DOWNLOAD EBOOKSAS Programming and Data Visualization Techniques: A Power User’s Guide brings together a wealth of ideas about strategic and tactical solutions to everyday situations experienced when transferring, extracting, processing, analyzing, and reporting the valuable data you have at your fingertips. Best, you can achieve most of the solutions using the SAS components you already license, meaning that this book’s insights can keep you from throwing money at problems needlessly. Author Philip R. Holland advises a broad range of clients throughout Europe and the United States as an independent consultant and founder of Holland Numerics Ltd, a SAS technical consultancy. In this book he explains techniques—through code samples and example—that will enable you to increase your knowledge of all aspects of SAS programming, improve your coding productivity, and interface SAS with other programs. He also provides an expert’s overview of Graph Templates, which was recently moved into Base SAS. You will learn to create attractive, standardized, reusable, and platform-independent graphs—both statistical and non-statistical—to help you and your business users explore, visualize, and capitalize on your company’s data. In addition, you will find many examples and cases pertaining to healthcare, finance, retail, and other industries. Among other things, SAS Programming and Data Visualization Techniques will show you how to: Write efficient and reus able SAS code Combine look-up data sets with larger data sets effectively Run R and Perl from SAS Run SAS programs from SAS Studio and Enterprise Guide Output data into insightful, valuable charts and graphs SAS Programming and Data Visualization Techniques prepares you to make better use of your existing SAS components by learning to use the newest features, improve your coding efficiency, help you develop applications that are easier to maintain, and make data analysis easier. In other words, it will save you time, money, and effort—and make you a more valuable member of the development team. What You'll Learn How to write more efficient SAS code—either code that runs quicker, code that is easier to maintain, or both How to do more with the SAS components you already license How to take advantage of the newest features in SAS How to interface external applications with SAS software How to create graphs using SAS ODS Graphics Who This Book Is For SAS programmers wanting to improve their existing programming skills, and programming managers wanting to make better use of the SAS software they already license.
Author: Walter W. Stroup
Publisher: CRC Press
Published: 2016-04-19
Total Pages: 547
ISBN-13: 1439815135
DOWNLOAD EBOOKWith numerous examples using SAS PROC GLIMMIX, this text presents an introduction to linear modeling using the generalized linear mixed model as an overarching conceptual framework. For readers new to linear models, the book helps them see the big picture. It shows how linear models fit with the rest of the core statistics curriculum and points out the major issues that statistical modelers must consider.
Author: Leroy Thompson
Publisher: Zenith Imprint
Published: 1999
Total Pages: 132
ISBN-13: 9781610607421
DOWNLOAD EBOOKSAS THOMPSON, L
Author: Rick Wicklin
Publisher: SAS Institute
Published: 2013
Total Pages: 363
ISBN-13: 1612903320
DOWNLOAD EBOOKData simulation is a fundamental technique in statistical programming and research. Rick Wicklin's Simulating Data with SAS brings together the most useful algorithms and the best programming techniques for efficient data simulation in an accessible how-to book for practicing statisticians and statistical programmers. This book discusses in detail how to simulate data from common univariate and multivariate distributions, and how to use simulation to evaluate statistical techniques. It also covers simulating correlated data, data for regression models, spatial data, and data with given moments. It provides tips and techniques for beginning programmers, and offers libraries of functions for advanced practitioners. As the first book devoted to simulating data across a range of statistical applications, Simulating Data with SAS is an essential tool for programmers, analysts, researchers, and students who use SAS software. This book is part of the SAS Press program.
Author: Jonas V. Bilenas
Publisher: SAS Press
Published: 2005
Total Pages: 0
ISBN-13: 9781590475737
DOWNLOAD EBOOKProgrammers, statisticians, or data analysts can learn how to make the powerful PROC FORMAT procedure work for them with this guide. Written in an easy-to-follow tutorial style and illustrated with real-world examples and solutions, this handy guide introduces beginning to intermediate SAS users to the functionality of the FORMAT procedure.
Author: Xiaofeng Steven Liu
Publisher: Routledge
Published: 2013-11-07
Total Pages: 285
ISBN-13: 1136464182
DOWNLOAD EBOOKThis is the first book to demonstrate the application of power analysis to the newer more advanced statistical techniques that are increasingly used in the social and behavioral sciences. Both basic and advanced designs are covered. Readers are shown how to apply power analysis to techniques such as hierarchical linear modeling, meta-analysis, and structural equation modeling. Each chapter opens with a review of the statistical procedure and then proceeds to derive the power functions. This is followed by examples that demonstrate how to produce power tables and charts. The book clearly shows how to calculate power by providing open code for every design and procedure in R, SAS, and SPSS. Readers can verify the power computation using the computer programs on the book's website. There is a growing requirement to include power analysis to justify sample sizes in grant proposals. Most chapters are self-standing and can be read in any order without much disruption.This book will help readers do just that. Sample computer code in R, SPSS, and SAS at www.routledge.com/9781848729810 are written to tabulate power values and produce power curves that can be included in a grant proposal. Organized according to various techniques, chapters 1 – 3 introduce the basics of statistical power and sample size issues including the historical origin, hypothesis testing, and the use of statistical power in t tests and confidence intervals. Chapters 4 - 6 cover common statistical procedures -- analysis of variance, linear regression (both simple regression and multiple regression), correlation, analysis of covariance, and multivariate analysis. Chapters 7 - 11 review the new statistical procedures -- multi-level models, meta-analysis, structural equation models, and longitudinal studies. The appendixes contain a tutorial about R and show the statistical theory of power analysis. Intended as a supplement for graduate courses on quantitative methods, multivariate statistics, hierarchical linear modeling (HLM) and/or multilevel modeling and SEM taught in psychology, education, human development, nursing, and social and life sciences, this is the first text on statistical power for advanced procedures. Researchers and practitioners in these fields also appreciate the book‘s unique coverage of the use of statistical power analysis to determine sample size in planning a study. A prerequisite of basic through multivariate statistics is assumed.
Author: SAS Institute
Publisher:
Published: 1999
Total Pages: 0
ISBN-13: 9781580254854
DOWNLOAD EBOOKHere's your one source for reference entries for individual elements of the SAS language in an alphabetized, encyclopedia format. This title is intended for users with previous experience with SAS or who have atleast an intermediate level of expertise with another programming language. Use this title for complete reference information for all nonoperating-environment-specific features of the SAS language. In this context, language includes all features that are not procedures. SAS Language Reference: Concepts is a companion volume to this title, providing essential concepts for SAS features, the DATA step, and SAS files. This title is available for purchase as a hardcopy book or e-book, or in the SAS OnlineDoc CD-ROM with PDF files. The HTML version of the SAS OnlineDoc CD-ROM is shipped free with Version 8.
Author: Alex Dmitrienko, Ph.D.
Publisher: SAS Institute
Published: 2007-02-07
Total Pages: 464
ISBN-13: 1629590304
DOWNLOAD EBOOKIntroduces a range of data analysis problems encountered in drug development and illustrates them using case studies from actual pre-clinical experiments and clinical studies. Includes a discussion of methodological issues, practical advice from subject matter experts, and review of relevant regulatory guidelines.
