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Technical Reviewers Book List

An Introduction to Biostatistics Using SAS Studio
By Ron Cody

Aimed specifically at the health sciences, An Introduction to Biostatistics Using SAS Studio, provides an introduction on how to use the point-and-click SAS Studio tasks to solve basic statistical problems. The book will include many biological and health related problem sets and will be fully compatible with SAS University Edition.
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An Introduction to Financial Analytics Using SAS
By Sourish Das, Lokesh Nagar, and Bala Gopalakrishnan

This example-driven book provides an easy-to-understand approach to learning finance and statistical modeling, with special attention to application with the use of SAS. Most books on financial engineering are quite mathematical, requiring an advanced background in stochastic calculus. In this book the authors have taken a data mining approach, which blends theory and practice. They present an easy introduction to the topics of finance and statistical modeling, with sufficient methodological detail and the required SAS code to implement models in practice with real data. The book is especially suitable for undergraduate to masters-level students of statistical finance. Professionals in finance will also find it handy for model implementation and indicators using SAS.

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SAS Metadata Dictionary Tables and SASHELP Views: Learning Metadata by Example
By Kirk Paul Lafler

SAS users can quickly and conveniently obtain useful information about their SAS session with read-only SAS data views called Dictionary tables or SASHELP views. At any time during a SAS session, information about currently defined system options, libnames, table names, column names, and attributes, formats, indexes, and more can be accessed and captured. This book will help all levels of SAS users learn all about the world of metadata in SAS software: With an instructive and conversational voice, SAS consultant and author Kirk Paul Lafler explains the purpose of each Dictionary table and SASHELP view, its contents, and many uses. A comprehensive and real-world, step-by-step, approach is presented, illustrating popular DATA step, PROC, and Enterprise Guide programming examples. This book explores the purpose of Dictionary tables and views, how they are accessed, and what information is available to SAS users. Readers learn how these important tables and views can be accessed and applied, using real-world scenarios.

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Statistical Modeling for Business with SAS
By Greg Lee

Statistical Modeling for Business 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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Time Series Analysis in SAS: Beyond Forecasting
By David J. Corliss

Written for the intermediate and advanced SAS user, this book has as its focus the many practical applications and concrete examples in SAS of a wide variety of important time series analysis tools other than forecasting. Many of these tools can be found in statistical journals, but these publications lack application to the situations faced by researchers in many areas. Moreover, a complete handbook for time series applications exists only for ARIMA models in general and forecasting in particular, not the many other techniques described in academic journals. This book will complement SAS's successful text, SAS for Forecasting Time Series, by John C. Brocklebank and David A. Dickey, expanding the SAS tools available to users to include many more, such as the following: cluster analysis, data visualization, work with missing data, and wavelets. This book also introduces time series analysis in SAS to researchers now using R for time series analysis.

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