SAS Programming in the Pharmaceutical Industry

At last! A real-world reference guide for clinical trial SAS programming, packed with solutions that programmers can apply to their day-to-day problems. Discover key techniques and tools available within Base SAS (including the macro language and PROC SQL), SAS/GRAPH, and SAS/STAT that can be used to resolve many common issues in working with clinical trial data. Organized to reflect the statistical programmer’s work flow, Jack Shostak’s SAS Programming in the Pharmaceutical Industry begins with an introduction to the working environment, then presents chapters on importing and massaging data into analysis data sets, producing clinical trial output, and exporting data. Valuable plug-and-play programming examples are provided throughout. Whether you’re a novice seeking an introduction to SAS programming for the pharmaceutical industry or a junior-level programmer exploring new approaches to problem solving, you’ll find a wealth of practical suggestions to help you sharpen your skills.

Table of Contents

Chapter 1 Environment and Guiding Principles
Chapter 2 Preparing and Classifying Clinical Trial Data
Chapter 3 Importing Data
Chapter 4 Transforming Data and Creating Analysis Data Sets
Chapter 5 Creating Tables and Listings
Chapter 6 Creating Clinical Trial Graphs
Chapter 7 Performing Common Analyses and Obtaining Statistics
Chapter 8 Exporting Data
Chapter 9 The Future of SAS Programming in Clinical Trials
Chapter 10 Further Resources