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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SAS Programming in the Pharmaceutical Industry This real-world reference for clinical trial SAS programming is packed with solutions that can be applied to day-to-day problems. Organized to reflect the statistical programmers workflow, this user-friendly text presents chapters on importing and massaging data into analysis data sets, producing clinical trial output, and exporting data. Full description
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).
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