A Handbook of Statistical Graphics Using SAS ODS

Easily Use SAS to Produce Your Graphics
 Diagrams, plots, and other types of graphics are indispensable components in nearly all phases of statistical analysis, from the initial assessment of the data to the selection of appropriate statistical models to the diagnosis of the chosen models once they have been fitted to the data. Harnessing the full graphics capabilities of SAS, A Handbook of Statistical Graphics Using SAS ODS covers essential graphical methods needed in every statistician’s toolkit. It explains how to implement the methods using SAS 9.4.
 The handbook shows how to use SAS to create many types of statistical graphics for exploring data and diagnosing fitted models. It uses SAS’s newer ODS graphics throughout as this system offers a number of advantages, including ease of use, high quality of results, consistent appearance, and convenient semiautomatic graphs from the statistical procedures. 
 Each chapter deals graphically with several sets of example data from a wide variety of areas, such as epidemiology, medicine, and psychology. These examples illustrate the use of graphic displays to give an overview of data, to suggest possible hypotheses for testing new data, and to interpret fitted statistical models. The SAS programs and data sets are available online.

Computers & Technology

Everitt, Brian

Der, Geoff

Networking & Cloud Computing

Chapman and Hall/CRC

This essential handbook provides an introduction to the use of SAS for a variety of statistical analyses. Each chapter describes a particular technique applied to a particular data set, describes the relevant questions, gives a brief account of the methods used, details the SAS instructions needed to undertake analysis, and interprets the SAS output. Handbook of Statistical Analysis Using SAS serves as an easy introduction to using SAS for statistics and as a stepping stone to using the more comprehensive SAS manuals available. Statistical users of SAS, especially in the pharmaceutical industry and medical research, will find this book of particular interest.

Handbook of Statistical Analyses Using SAS

Everitt, Brian S.

Operating Systems

A Handbook of Statistical Analyses using SAS

Updated to reflect SAS 9.2, A Handbook of Statistical Analyses using SAS, Third Edition continues to provide a straightforward description of how to conduct various statistical analyses using SAS. Each chapter shows how to use SAS for a particular type of analysis. The authors cover inference, analysis of variance, regression, generalized linear models, longitudinal data, survival analysis, principal components analysis, factor analysis, cluster analysis, discriminant function analysis, and correspondence analysis. They demonstrate the analyses through real-world examples, including methadone maintenance treatment, the relation of cirrhosis deaths to alcohol consumption, a sociological study of children, heart transplant treatment, and crime rate determinants. With the data sets and SAS code available online, this book remains the go-to resource for learning how to use SAS for many kinds of statistical analysis. It serves as a stepping stone to the wider resources available to SAS users.

Programming

Written with medical statisticians and medical researchers in mind, this intermediate-level reference explores the use of SAS for analyzing medical data. Applied Medical Statistics Using SAS covers the whole range of modern statistical methods used in the analysis of medical data, including regression, analysis of variance and covariance, longitudinal and survival data analysis, missing data, generalized additive models (GAMs), and Bayesian methods. The book focuses on performing these analyses using SAS, the software package of choice for those analysing medical data. Features <ul>
<li>Covers the planning stage of medical studies in detail; several chapters contain details of sample size estimation</li> <li>Illustrates methods of randomisation that might be employed for clinical trials</li> <li>Covers topics that have become of great importance in the 21st century, including Bayesian methods and multiple imputation</li> </ul> Its breadth and depth, coupled with the inclusion of all the SAS code, make this book ideal for practitioners as well as for a graduate class in biostatistics or public health. Complete data sets, all the SAS code, and complete outputs can be found on an associated website: http://support.sas.com/amsus

Applied Medical Statistics Using SAS

Science & Math

Biological Sciences

Software

Powerful software often comes, unfortunately, with an overwhelming amount of documentation. As a leading statistics software package, SAS is no exception. Its manuals comprise well over 10,000 pages and can intimidate, or at least bewilder, all but the most experienced users. A Handbook of Statistical Analyses using SAS, Second Edition comes to the rescue. Fully revised to reflect SAS Version 8.1, it gives a concise, straightforward description of how to conduct a range of statistical analyses. The authors have updated and expanded every chapter in this new edition, and have incorporated a significant amount of new material. The book now contains more graphical material, more and better data sets within each chapter, more exercises, and more statistical background for each method. Completely new topics include the following: 
<li>Data description and simple inference for categorical variables 
</li>
<li>Generalized linear models 
</li>
<li>Longitudinal data: Two new chapters discuss simple approaches, graphs, summary measure, and random effect models Researcher or student, new user or veteran, you will welcome this self-contained guide to the latest version of SAS. With its clear examples and numerous exercises, A Handbook of Statistical Analyses using SAS, Second Edition is not only a valuable reference, but also forms the basis for introductory courses on either SAS or applied statistics at any level, from undergraduate to professional.</li>

Handbook of Statistical Analyses Using SAS, Second Edition

Statistical analysis is ubiquitous in modern medical research. Logistic regression, generalized linear models, random effects models, and Cox's regression all have become commonplace in the medical literature. But while statistical software such as SAS make routine application of these techniques possible, users who are not primarily statisticians must take care to correctly implement the various procedures and correctly interpret the output. Statistical Analysis of Medical Data Using SAS demonstrates how to use SAS to analyze medical data. Each chapter addresses a particular analysis method. The authors briefly describe each procedure, but focus on its SAS implementation and properly interpreting the output. The carefully designed presentation relegates the theoretical details to "Displays," so that the code and results can be explored without interruption. All of the code and data sets used in the book are available for download from either the SAS Web site or www.crcpress.com. Der and Everitt, authors of the best-selling Handbook of Statistical Analyses Using SAS, bring all of their considerable talent and experience to bear in this book. Step-by-step instructions, lucid explanations and clear examples combine to form an outstanding, self-contained guide--suitable for medical researchers and statisticians alike--to using SAS to analyze medical data.

Statistical Analysis of Medical Data Using SAS

Updated to reflect SAS 9.2, A Handbook of Statistical Analyses using SAS, Third Edition continues to provide a straightforward description of how to conduct various statistical analyses using SAS. 
Each chapter shows how to use SAS for a particular type of analysis. The authors cover inference, analysis of variance, regression, generalized linear models, longitudinal data, survival analysis, principal components analysis, factor analysis, cluster analysis, discriminant function analysis, and correspondence analysis. They demonstrate the analyses through real-world examples, including methadone maintenance treatment, the relation of cirrhosis deaths to alcohol consumption, a sociological study of children, heart transplant treatment, and crime rate determinants. 
With the data sets and SAS code available online, this book remains the go-to resource for learning how to use SAS for many kinds of statistical analysis. It serves as a stepping stone to the wider resources available to SAS users.

Now it's easy to perform many of the most common statistical techniques when you use the SAS Enterprise Guide point-and-click interface to access the power of SAS. Emphasizing the practical aspects of the analysis, Geoff Der and Brian S. Everitt's Basic Statistics Using SAS Enterprise Guide: A Primer shows you how to conduct a wide range of statistical analyses without any SAS programming required. One or more real data sets, a brief introduction of the technique, and a clear explanation of the SAS Enterprise Guide output are provided for each analysis. Exercises at the end of each chapter help you consolidate what has been learned. Topics include: Analysis of variance Dealing with categorical data Logistic regression Regression Significance tests Survival analysis And more! This text is ideal for those who want to use SAS to analyze their data, but do not have the time to undertake the considerable amount of learning involved in the programming approach.

Basic Statistics Using SAS Enterprise Guide:: A Primer

Programming Languages

SAS Institute

Students and instructors of statistics courses using SAS University Edition will welcome this book. Learning fundamental statistics is essential to solving problems with SAS. Essential Statistics Using SAS University Edition demonstrates how to use SAS University Edition to apply a variety of statistical methodologies, from the simple to the not-so-simple, to a range of data sets. Learn how to apply the appropriate statistical method to answer a particular question about a data set, and correctly interpret the numerical results that you obtain. SAS University Edition users who are new to SAS or who need a refresher course will benefit from the statistics overview and topics, such as multiple linear regression, logistic regression, and Poisson regression.

Essential Statistics Using SAS University Edition

See the best price to sell, buy, or rent books by Der, Geoff. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Der, Geoff

See the best price to sell, buy, or rent books by Der, Geoff. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

A Handbook of Statistical Graphics Using SAS ODS

Handbook of Statistical Analyses Using SAS

A Handbook of Statistical Analyses using SAS

Applied Medical Statistics Using SAS

A Handbook of Statistical Graphics Using SAS ODS

Handbook of Statistical Analyses Using SAS, Second Edition

Statistical Analysis of Medical Data Using SAS

A Handbook of Statistical Analyses using SAS

Basic Statistics Using SAS Enterprise Guide:: A Primer

Essential Statistics Using SAS University Edition