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Technical Reviewers Book List


Analysis of Clinical Trials Using SAS®: A Practical Guide, Second Edition
By Alex Dmitrienko, Ph.D. and Gary G. Koch

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Applied Econometrics with SAS®: Modeling Demand, Supply, and Risk
By Barry K. Goodwin and Ford Ramsey

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Biostatistics Using JMP®: A Practical Guide
By Trevor Bihl

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Data Management and Analysis Using JMP®: Health Care Case Studies
By Jane Oppenlander and Patricia Schaffer

Bridges the gap between the traditional first statistics course preparation and the successful application of statistical analysis in the workplace.

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Data Management with JMP®
By Robert Carver

An introduction on how to use JMP to manage data for analysis. The book is organized within a framework of statistical investigations and model-building (where data acquisition and prep commonly eat up something like 75% of the effort and time) and in doing so illustrates the new data handling features in JMP, such as Query Builder.

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Exchanging Data From SAS® to Excel: The ODS Excel Destination
By William E. Benjamin, Jr.,

Export customized Excel spreadsheets from SAS, complete with graphics, images, and text.

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Hash Tables by Example Using SAS®
By Don Henderson and Paul Dorfman

Hash tables can do a lot more than you might think! This book concentrates on solving challenging data aggregation problems using the power of the hash table approach. Focusing on real world problems using Major League Baseball GameDay data, this book provides an overview of how hash tables work, as well as the general aggregation philosophies and tablelook-up narrative at the algorithmic level. This knowledge is essential to address the question of why you should use hash objects to focus on data aggregation. As a great bonus, this book explains how to leverage other handy SAS tools such as SAS XML Mapper, table lookup techniques, advanced data aggregation techniques, and memory management techniques to help you answer your toughest questions in the most efficient way possible.

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Introduction to Statistical Quality Control with JMP®
By Brenda S. Ramírez, M.S. and José G. Ramírez, Ph.D.

Hash tables can do a lot more than you might think! This book concentrates on solving challenging data aggregation problems using the power of the hash table approach. Focusing on real world problems using Major League Baseball GameDay data, this book provides an overview of how hash tables work, as well as the general aggregation philosophies and tablelook-up narrative at the algorithmic level. This knowledge is essential to address the question of why you should use hash objects to focus on data aggregation. As a great bonus, this book explains how to leverage other handy SAS tools such as SAS XML Mapper, table lookup techniques, advanced data aggregation techniques, and memory management techniques to help you answer your toughest questions in the most efficient way possible.

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Statistical Modeling for Business with SAS®
By Gregory John Lee

This book is a set of critical applied statistics techniques for business in continuous and categorical analysis, with an emphasis on application in SAS.

Aimed at anyone wishing to understand the application of statistics models to business and related disciplines - both students and business practitioners. It is designed to be relevant to a complete beginner, therefore readers do not need and SAS background.


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Statistical Programming in SAS®, Second Edition
By A. John Bailer

This book is a set of critical applied statistics techniques for business in continuous and categorical analysis, with an emphasis on application in SAS.


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A Step-by-Step Approach to Using SAS® for Univariate and Multivariate Statistics, Third Edition
By Norm O'Rourke, Ph.D., R.Psych, Larry Hatcher, Ph.D., Edward J. Stepanski, Ph.D., and Paul J. Miller, Ph.D.


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Stored Processes in SAS®
By Phil Mason


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Tips, Tricks and Examples for SAS® Programmers
By Martha Hall Messineo

Programming in SAS is very flexible, but also very overwhelming, and many programmers learn how to do tasks one way but don't realize that there may be simpler or better way to achieve the same results. This book will provide tips on general programming in SAS using the Data Step, Macro, and Display Manager. The book will consist of self-contained sections that will each describe a tip or trick and give some examples – quick and easy without too much extraneous information - this will make it an easy reference for a specific question, or a cover-to-cover read. Additionally, there will be two appendices: one will contain utility and sample programs to help simplify development; and the second will discuss the importance of developing a coding style and will use my style as an example.

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