SAS Programming with Medicare Administrative Data

by Matthew Gillingham

Overview

SAS Programming with Medicare Administrative Data is the most comprehensive resource available for using Medicare data with SAS. This book teaches you how to access Medicare data and, more importantly, how to apply this data to your research. Knowing how to use Medicare data to answer common research and business questions is a critical skill for many SAS users. Due to its complexity, Medicare data requires specific programming knowledge in order to be applied accurately. Programmers need to understand the Medicare program in order to interpret and utilize its data. With this book, you'll learn the entire process of programming with Medicare data—from obtaining access to data; to measuring cost, utilization, and quality; to overcoming common challenges. Each chapter includes exercises that challenge you to apply concepts to real-world programming tasks. SAS Programming with Medicare Administrative Data offers beginners a programming project template to follow from beginning to end. It also includes more complex questions and discussions that are appropriate for advanced users. Matthew Gillingham has created a book that is both a foundation for programmers new to Medicare data and a comprehensive reference for experienced programmers. This book is part of the SAS Press program.

Product Details

ISBN-13:	9781629591537
Publisher:	SAS Institute
Publication date:	05/01/2014
Sold by:	Barnes & Noble
Format:	eBook
Pages:	168
Sales rank:	1,000,531
File size:	6 MB

About the Author

Matthew Gillingham is the director of health research systems at Mathematica Policy Research. His career in health care data analytics began with analyzing commercial claims and enrollment data. For more than ten years, he has used SAS to build software that analyzes administrative health care and Medicare administrative data. Specifically, Gillingham directs systems research and development work that uses large Medicare claims and enrollment data files to monitor and report on health care quality and utilization for the Centers for Medicare&Medicaid Services. In addition, he provides technical assistance and quality assurance on projects that use Medicare data to create analytic files for program evaluation, monitoring, and other research purposes.