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.
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Jack Shostak is the manager of statistical programming at the Duke Clinical Research Institute and has been a SAS user since 1985. He is the author of the chapter "Reporting and SAS Tool Selection" in Reporting from the Field, a coauthor of the NorthEast SAS Users Group (NESUG) proceedings paper "Macros Developed for Statistical Summary and Tabulation of Clinical Data," and the author of the PharmaSUG paper "Implementation of the CDISC SDTM at the Duke Clinical Research Institute." Jack is active in the Pharmaceutical Industry SAS Users Group (PharmaSUG) and SAS Users Group International (SUGI).
Very hands-on and comprehensive! Both the novice and the advanced user will find valuable tips and techniques in this well-written text on SAS Programming in the Pharmaceutical Industry. Important topics such as CDISC, MedDRA, WHODrug, and SOPs are clearly presented with the SAS user in mind. The text is a virtual treasure chest of many delightful examples, ranging from performing many-to-many comparisons/joins and creating box-and-whisker plots, to using the SQL Pass-Through Facility to read Microsoft Excel data. --Dr. Jimmy Thomas Efird, John A. Burns School of Medicine
A down-to-earth book on the practical aspects of performing clinical trial analyses in the pharmaceutical industry. Jack Shostak wastes no time in getting to important issues such as industry regulations and standards, data preparation and transformation, and acquiring data. His use of examples helps reduce a lot of the development time one spends on getting the correct syntax for statements and procedures for reporting results, like creating tables and listings, preparing graphics, and performing commonly used statistical analyses. Programmers working with clinical trial data in areas outside the pharmaceutical industry might find this book useful in expanding their SAS programming skills as well. --Robert Francis, Ph.D., NOVA Research Company
Jack has done a great job giving the most experienced clinical programmer or an entry level clinical programmer what we love to read - source code and new approaches to industry issues. This book covers SAS and industry information from a clinical trial programmer's 'need to know' perspective. Consider this book the Ultimate Guided Expedition for Clinical Trial Programmers. This will keep new folks "out of trouble" and give the seasoned professional something new to consider. --Tim Moore, President, Quality Research Partner, Inc.
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