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Analyzing and Interpreting Continuous Data Using JMP: A Step-by-Step Guide
By Brenda Ramirez and José G. Ramirez
This book will serve as a reference to solve common problems in science and engineering using statistical techniques. It includes topics found in an introductory statistics course, such as, graphical tools, descriptive statistics, tests of hypothesis, and linear regression. Each chapter starts with a problem description from engineering or science and is followed by succinct step-by-step instructions for how to carry out the steps involved using statistical techniques and how to execute them in JMP.
Combining and Modifying SAS Data Sets: Examples, Second Edition
By Michele M. Burlew
Building on the popularity of the first edition of Combining and Modifying SAS Data Sets, Michele Burlew will update this popular examples book to expand the content and address new features in the software, including. Changes to the content have been carefully outlined by Tech Support. Michele will also be adding other examples of her own. Upon completion of this edition, SAS will have completely updated the examples books for base SAS software to SAS 9.
Data Mining Healthcare and Clinical Databases with SAS
By Patricia Cerrito
This book will demonstrate how data mining can be used to exploit the collected clinical databases to investigate problems of interest to healthcare providers. Included are solutions to
- Optimizing scheduling personnel to reduce waiting and holding times
- Reducing the need for diversion in the Emergency Department
- Examining the variability of physician decision making and how decisions can be optimized to reduce costs and improve patient care
- Defining methods to rank healthcare providers in terms of quality without assuming the uniformity to data coding which currently rewards over-coders and penalizes under-coders
- How to handle the issue of limited-payer in terms of the bottom line.
The book demonstrates how data mining can investigate these problems by giving a number of results. In addition, for those who have a basic knowledge of statistics and data mining, the text provides statistical code using SAS software for implementing programs to solve these problems.
The primary audience is healthcare policy makers, physicians, healthcare administrators, and quality control personnel, but the book really applies to a dual audience-those with SAS experience and those in the field with little or no SAS experience but who understand the problems in healthcare when faced with need to analyze the data.
JMP Means Business: Statistical Models in Management
By Josef Schmee and Jane Oppenlander
The authors use JMP Software to illustrate the most useful statistical methods and models for management. Their example-driven approach will help 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.
The Little SAS Book: A Primer, Fourth Edition
By Susan J. Slaughter and Lora D. Delwiche
Now in its fourth edition, The Little SAS Book has become a classic, helping many people to learn SAS programming. Its friendly, easy-to-read style gently introduces readers to the most commonly used features of the SAS language. Topics include basic SAS concepts such as the DATA and PROC steps, inputting data, modifying and combining data sets, summarizing data, producing reports, and debugging SAS programs. Each topic is presented in a self-contained two-page layout complete with examples and graphics. This clear and concise format enables new users to get up and running quickly, while the examples allow readers to type in the program and see it work! New topics in the fourth edition include
- ODS Graphics for statistical procedures
- SGPLOT procedure for graphics
- Creating new variables in PROC REPORT with a COMPUTE block
- WHERE= data set option
- SORTSEQ=LINGUISTIC option in PROC SORT
- More functions including ANYALPHA, CAT, PROPCASE, and YRDIF
SAS Applications in the Credit Card Industry
By Jonas V. Bilenas
With a cookbook approach, this book details 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. Differences in modeling methodologies will be reviewed as well. This book will introduce the new concept of experimental design to test consumer preference and to provide data for price optimization. This book will also 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 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.
SQL as a Second Language
By Howard Schreier
This book explains and illustrates the use of PROC SQL in the context of the SAS DATA step and other SAS procedures (such as SORT, FREQ, MEANS/SUMMARY, APPEND, DATASETS, and TRANSPOSE) whose functionality overlaps and complements that of SQL. Using a side-by-side approach, this concise reference guide includes many extensively explained examples showing equivalent DATA step and SQL code. It enables SAS users to take advantage of existing SAS skills and knowledge while learning about SQL. Discussions cover the differences between SQL and the DATA step as well as situations where SQL and the DATA step are used together to benefit from the strengths of each.