Community» Author with SAS
Under Contract
These authors are busily writing the books described below. Check back often to learn about new projects.
Melvin T. Alexander is currently writing Expanding the Six Sigma Toolkit Using JMP. This book will show examples of JMP analytics that help Six Sigma practitioners, especially those in the healthcare industry, apply the right six sigma tools on the right applications to get the right results. The proposed book is designed to be used as a how-to workbook, self-study r eference, or teaching supplement, and includes real-world examples and case studies.
Paul D. Allison has signed on to write Survival Analysis Using SAS: A Practical Guide, Second Edition. Biomedical and social science researchers who want to analyze survival data with the SAS System will find just what they need with this easy-to-read and comprehensive guide. New features for the second edition will include predicting survival when there are time-dependent covariates, competing risks, macros for frailty models, examples of new features in the LIFEREG, LIFETEST, PHREG, and POWER procedures.
Mike Ames, a software manager in the financial services practice at SAS, has recently signed on to write a book titled Capitalizing on SAS for Data Warehousing Success in the Financial Industry. Mike's book will provide a step-by-step approach for building data warehouses targeted to the financial services industry using SAS. The book presents a unique design methodology by providing multiple SAS code examples for solving the most common data warehousing problems. Also, the book will introduce a new concept called IBS (Information Based Strategy). IBS is an innovative approach that combines scientific experimental design and information assets to solve business problems, identify opportunities, tailor products and services, and manage risk.
The audience for this book is the data warehouse architect who is new to SAS, the SAS programmer tasked with building a data warehouse or data mart from scratch or tasked with enhancing an existing warehouse, the analyst who needs to extract data from source systems to solve a specific problem, the programmer who needs to move data between two source systems, and finally, the report writer who needs to automate data preparation steps. This book can be applied to both large-scale data warehouses and small-scale data marts. Many of the techniques and examples have applications outside of data warehousing and would be appropriate as a reference for any SAS programmer. The goal of the book is to present real-world examples of common data warehousing techniques and to challenge the reader to try these techniques in their own environment.
John Bailer has contracted to write Statistical Programming in SAS. In this book, SAS is used as a platform to introduce programming ideas for statistical analysis, data management and simulation. Examples of statistical methods and concepts not always encountered in first statistics courses are used to illustrate these programming ideas.
Thaer Baroud has contracted to write a desk reference currently titled SAS Applications in Public Health and Epidemiological Research. This text will cover communicable and chronic diseases as well as maternal and child health survey research. Priority public health topics will be discussed using relevant state and national datasets, including description of the methods used to collect the data and the SAS applications to analyze, generate, and present information and findings from such data in real-world examples.
Jonas Bilenas, Vice President - Product Pricing Optimization, Decision Science, JP Morgan Chase, is currently working on SAS Applications in the Credit Card Industry. Jonas' book will detail how to use SAS to manage risk and how to evaluate the risk in terms of profit trade-offs in the consumer credit card industry. There are some differences in modeling methodologies that will be reviewed as well. The book will also introduce the new concept of experimental design to test consumer preference and to provide data for price optimization. This book will touch on linear modeling, reporting, and experimental design. It will provide a single source for the methodologies currently being used in the area of consumer credit (credit cards, mortgage, installment loans).
From acquisition to account management to collections, this book will detail what SAS tools are available for the risk manager and marketing analyst in the area of consumer credit. This book will also provide tools for balancing risk and reward, methods to use data for modeling performance and preference for consumer credit vehicles, and it will review the current state of consumer credit decision science.
In her upcoming book Data Mining Healthcare and Clinical Databases with SAS, Patricia Cerrito will demonstrate how data mining can be used to exploit the collected clinical databases to investigate problems of interest to healthcare providers. The book will provide a number of results and statistical code using SAS software for implementing programs to solve these problems.
Ian Cox, Marie Gaudard, Philip J. Ramsey, Mia L. Stephens, and Leo Wright have contracted to write Visual Six Sigma: Making Data Analysis Lean. This book will present "how to" chapters that walk the user through the mechanics and interpretation of the JMP techniques that are featured in the case studies. As such, novice users will find the book useful. However, even more advanced users should find value in this material, as it will lean toward the application of techniques that are new in JMP 7.
Veronica Czitrom, new SAS Press author, has plans to author a book whose working title is Introduction to JMP for Engineers. This book will take a step-by-step approach in describing JMP commands widely used by engineers.
Alex Dmitrienko and Gordon Lan are developing their new book currently titled Advances in Pharmaceutical Statistics: Innovative Designs in Drug and Medical Device Development. This book will provide a detailed account of adaptive designs for drug and device studies that are consistent with principles of good clinical practice and are based on a solid scientific foundation. Individual chapters are being written by scientists who have made significant contributions to the statistical methodology and implementation of adaptive designs in medical research. This book is aimed at biostatisticians and other professionals involved in the design and analysis of studies to test drugs and medical devices.
Ali Emrouznejad is working on a new book currently titled Applied Operations Research Using SAS. This book will detail useful techniques for conducting methods in operational research using SAS. It will also explain both the practical details involved in using optimization techniques and implementation of the models in SAS.
Akos Felsovalyi and Daniel J. Kocis, Jr. have teamed up to author a book currently titled Data Mining with SAS: Multivariate Functions and Segments. Akos Felsovalyi, coauthor of the SAS Press book SAS for Monte Carlo Studies: A Guide for Quantitative Researchers, is currently Vice President of Risk Architecture at Citigroup. Daniel J. Kocis, Jr. owns and manages Multivariate Algorithms Inc., a database analytic company that focuses on multivariate business intelligence for the financial, pharmaceutical, advertising, and utility industries. The proposed book will present data mining fundamentals, as well as a common-sense, practical approach to data mining. Because the subject is a very broad discipline, it will focus on the most widely used binary modeling.
Eric Gebhart's upcoming book currently titled ODS Markup: Tagsets by Example will demonstrate how to use the ODS Markup statement and PROC TEMPLATE to create new ODS destinations. Many of the examples will be immediately useful to the reader. After beginning with the basics, a methodology for solving problems will be developed and used throughout the book.
Chris Hemedinger's upcoming book Creating Custom Tasks for SAS Business Intelligence Applications Using Microsoft.NET will take users step-by-step through the process of creating custom tasks (add-ins) for use in SAS Enterprise Guide. Users will learn about the services that the SAS Enterprise Guide framework offers, including access to data, ability to submit SAS programs, and integrate custom task results into the Enterprise Guide project. Users will also learn from a variety of useful examples implemented in Microsoft .NET technology, using C# and Visual Basic .NET programming languages (and of course, SAS).
Don Henderson, Ralph Mittl, and Denise Eaton are currently working on a book titled Forensic Testing Using SAS in the Financial Services Industry. Don is the owner and principal of Henderson Consulting Services a SAS Affiliate Partner, and previous SAS Press author. Ralph is Chief Compliance Officer at The Carlyle Group in Washington, DC. Denise is a senior manager of regulatory compliance at PricewaterhouseCoopers. Their book will provide a high-level overview of an approach to analysis and reporting architecture in meeting reporting requirements, as well as leverage information on trading practices to increase competitive advantage.
David H. Johnson, director of DKV-J Consultancies, has just signed a contract to write a book currently titled Analyzing Web Log Data with SAS. This data mining book is unique in that it outlines in detail the treatment of Web log analysis from a business perspective, including issues involved in matching Web log data to other data, the extraction and analysis of data from Web logs, the integration with corporate data (industry examples), analysis and resolution of business issues, and the population of data stores behind a WebAF front end.
Based on his course, Thomas A Little's upcoming book Root Cause Analysis and Six Sigma Basics will cover the integration of four core concepts. 1) Root cause analysis problem solving methdology. 2) JMP's use in basic tools for problem solving. 3) Templates for organizing and closing investigations. 4) Provides the fundamentals and an introduction to six sigma.
Wendy Murphrey and Rosemary Lucas are coauthoring a book currently titled JMP Into Scripting which contains the essentials for getting started with the JMP scripting language. Each topic is explained in an easy-to-understand display, based on the authors' extensive experience of conveying these topics to beginning scripting users. Beginning users will find that the introductory topics are explained in a detailed, yet easy-to-understand manner.
Norm O'Rourke and Larry Hatcher are currently working on their new book A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition. Offering even more great examples, this second edition provides an introduction to more advanced statistical procedures and includes handy appendixes that give basic instruction in using SAS. Novice SAS users will find all they need in this one volume to master SAS basics and to move into advanced statistical analyses.
Jose Ramirez and Brenda Ramirez have signed on to write JAnalyzing and Interpreting Continuous Data Using JMP: A Step-by-Step Guide. This book will combine user-friendly statistical instructions with a powerful and popular software platform among scientists and engineers. In a step-by-step format, the information in the book will enable users new to statistics and/or JMP software to learn as they go. This book will provide business users with the right type of information to solve their business problems, and will provide new JMP users additional skills to increase their software expertise.
Andy Ravenna, a technical training specialist in the SAS New York City office, will employ his teaching and writing experience in Instant Statistics with SAS Enterprise Guide. For new and long-term users of SAS who want to get up and running with SAS Enterprise Guide, Andy's user-friendly book will show how to perform basic statistical analyses. "Bonus" material will appeal to more experienced users. Following an introduction to SAS Enterprise Guide, each chapter will explore a different statistical task and discuss an example that is based on a specific industry such as clinical research, retail, marketing, manufacturing, and so on.
Robert Rutledge, a senior reliability and quality consultant at Sun Microsystems, has signed on to write Just Enough SAS: A Quick-Start Introduction to SAS for Engineers. This book is essentially a "view from the trenches" that will include many of the survival skills that the author has picked up during his tenure at Sun Microsystems and at IBM. The book will take a high-level approach to using SAS, but will enable the motivated reader to access real power very quickly. The book is applicable as both a tutorial for getting started with SAS for engineers and as a reference for quickly looking up many of the details that the author has found himself looking up over and over again, for example, syntax and effects of various text manipulation functions, available plot symbols and how to specify them, and so on. In addition, the code provided with the book will include a set of commonly used utility macros that the author has accumulated to simplify his own coding processes-another way that will give the user maximum power with minimum effort. The book deliberately sacrifices depth for breadth of coverage so that the new SAS user can quickly see how to build powerful applications and not get slowed down with details. Therefore, the author recommends three other SAS books that the reader is encouraged to buy to round out a complete beginner's library: The Little SAS Book, Third Edition, Carpenter's Complete Guide to the SAS Macro Language, Second Edition, and The How-To Book for SAS/GRAPH Software.
Michael Salassi's upcoming book Optimizing Business Decisions with SAS/OR: Linear Programming Examples Using PROC LP is aimed toward managers in business who make decisions that would impact the business's operations and bottom line. It will illustrate how to setup and solve mathematical programming problems for many common business problems faced by managers. This book is designed to be a presentation of practical business applications of the SAS/OR LP procedure (linear programming). Sample optimization problems included will present the problem, show how to develop a SAS program to solve the problem, and discuss how to understand and interpret the results.
Josef Schmee and Jane Oppenlander are teaming up to use JMP Software to illustrate the most useful statistical methods and models for management in their new book currently titled JMP Means Business: Statistical Models in Management. Their example driven approach helps students learn by following a structured approach to statistical modeling. Detailed examples are used to describe how to obtain JMP outputs, interpret the results, and verify important assumptions of the tool or the model.
Howard Schreier’s upcoming book PROC SQL by Example: Using SQL within SAS will explain and illustrate the use of PROC SQL in the context of the SAS DATA step and other SAS procedures (SORT, FREQ, MEANS/SUMMARY, APPEND, DATASETS, TRANSPOSE, and perhaps others) whose functionality overlaps and/or complements that of SQL.
Kevin Smith and Phil Holland have a signed on to write a book titled PROC TEMPLATE from Scratch - Styles and Data Templates. Kevin is a software developer in the Output Delivery and Reporting group at SAS, and Phil is an independent consultant and founder of Holland Numerics Ltd., a SAS technical consultancy as well as a previous SAS Press author. Their book will demonstrate many new ways of reporting, including new ways of creating tables, graphs, and text. SAS users in all fields, and experience levels, will benefit from this book.
Sy Truong has contracted to author a book currently titled Becoming a SAS Programmer in the Pharmaceutical Industry. This book provides a fresh perspective for prospective clinical SAS programmers by giving examples of career paths individuals could take and showing how this may fit the reader's goals. Although the book's underlying theme is of entering clinical trials programming within a regulated environment, it's also a thorough introduction to programming within that environment. Topics include the drug development process, getting to know the relevant software, data management and data analysis, CDISC and data standards, validation and regulatory requirements. Also, this book will introduce the software using technical examples to give readers a perspective of the technology from the business view within the pharmaceutical industry.
Readers can be college graduates looking into a career within this industry or professionals from another industry such as finance or health care considering working in the pharmaceutical industry. Readers do not have to have SAS experience because this book can be used as an introduction. If the reader has experience with SAS from another industry, this book will leverage that skill and apply it to clinical trials data. It will prepare them with the knowledge to work in a regulated environment.
Edward F. Vonesh's upcoming book Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS book is intended to provide applied statisticians with the necessary theory, tools and understanding to conduct analyses of continuous and/or discrete correlated data in a longitudinal or clustered data setting. It will focus on applications where the underlying model requires a nonlinear rather than linear formulation and will compare and contrast the various estimation techniques for both marginal and mixed-effects models. The SAS procedures MIXED, GENMOD, GLIMMIX and NLMIXED as well as user-specified macros will be used extensively in these applications. Particular attention will be given to useful programming tips that will help users navigate their way around these advanced procedures.
Detailed software code will be included with most examples so that readers can begin applying the various techniques immediately. Several approaches to the modeling of missing data will be presented including a discussion of selection models, shared-parameter models and pattern-mixture models. Specific examples illustrating how one might go about assessing the impact of missing data will be included.
Jeff Zeanah is currently working on a new book Essentials for Exploratory Data Mining Using SAS Enterprise Miner. Exploratory Data Mining is a time-consuming exercise. Having several examples at hand will make it easier for the reader to cut and paste code to produce the graphs and analyses they want. There will also be material on using model based approaches to explore large data. The idea is that even the advanced user needs examples to remember details of SAS, coding options, etc. to get them started and can use this book as a time saver, consulting the references for only the details.