Wednesday, May 23, 2012

SAS Programming in the Pharmaceutical Industry

SAS Programming in the Pharmaceutical Industry

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Product Description

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.

SAS Programming in the Pharmaceutical Industry Review

In the face of all these 5-star reviews, I would hate to add a negative note, but this book was a disappointment to me. True, it gives a well-written practical introduction to very basic pharmaceutical SAS programming, but any book that only gives one page--yes one page--to describe the CDISC standards, including STDM, ADAM, and no coverage at all to what is the basic organization of the Integrated Summary of Safety and Effectiveness (ISS, ISE) portions of the of an FDA submission is not giving the reader the fundamentals that are necessary for the SAS programmer to get a job in this industry. Come on, Mr. Shostak, please finish what you started!

Ron Levine
Philadelphia

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2 comments:

  1. Thanks for sharing this valuable post to my knowledge great pleasure to be here SAS has great scope in IT industry. It’s an application suite that can change, manage & retrieve data from the variety of origin & perform statistical analytic on it…
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