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SAS Programming in the Pharmaceutical Industry
 
 
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SAS Programming in the Pharmaceutical Industry [Paperback]

Jack Shostak (Author)
5.0 out of 5 stars  See all reviews (8 customer reviews)

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Book Description

September 2005 1590477936 978-1590477939 1
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 + Validating Clinical Trial Data Reporting with SAS (SAS Press) + Clinical Trials - A Practical Guide to Design, Analysis, and Reporting
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Editorial Reviews

Review

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.

About the Author

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).

Product Details

  • Paperback: 360 pages
  • Publisher: SAS Publishing; 1 edition (September 2005)
  • Language: English
  • ISBN-10: 1590477936
  • ISBN-13: 978-1590477939
  • Product Dimensions: 8.9 x 7.5 x 0.6 inches
  • Shipping Weight: 1.6 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (8 customer reviews)
  • Amazon Best Sellers Rank: #123,273 in Books (See Top 100 in Books)

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4 of 4 people found the following review helpful:
5.0 out of 5 stars Excellent Overview of Pharma Programming and Reporting, November 15, 2006
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This review is from: SAS Programming in the Pharmaceutical Industry (Paperback)
Based on input from someone who just got a job at a large pharma in Southern California, the material in the book is DIRECTLY relevant to programming and reporting in the industry. Future versions could be a bit more detailed, but again, as an overview it is excellent.
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4 of 4 people found the following review helpful:
5.0 out of 5 stars Very good book for entry-level clinical SAS programmer, October 16, 2006
This review is from: SAS Programming in the Pharmaceutical Industry (Paperback)
It's a very good book for someone who would want to know and learn SAS programming skills applied in clinical trials analysis. I have already recommended this book to my friends and colleagues in Pharmaceutical industry and they all seem to be in love with this book.

Good reference book for entry-level clinical SAS programmer.

Bhavin Busa

SAS Consultant
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2 of 2 people found the following review helpful:
5.0 out of 5 stars The best book I ever bought..., January 23, 2007
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This review is from: SAS Programming in the Pharmaceutical Industry (Paperback)
It is not easy to explain easy things easily, but this author is different. He knows how to say more in few words. I liked this book too much. It is easy to read, easy to understand, and easy to follow. Wish we had more writers like him.
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Inside This Book (learn more)
First Sentence:
Like many industries, the pharmaceutical industry has a vocabulary and language all its own. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
length rowlabel, laboratory shift table, demog noprint, ods output close, data demog, proc boxplot, statistical programmer, clinical data management system, proc report, critical variables data, ods graphics, proc transpose data, proc cport, adverse events database, ods rtf, proc sort data, odds ratio plot, proc tabulate, clinical trial analyses, censor date, proc gplot, filename fileref, adverse event form, proc freq data, value trt
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Enterprise Guide, Microsoft Excel, Import Wizard, Microsoft Access, Old Drug, Low Normal, Microsoft Word, Pass-Through Facility, Microsoft Office, Protocol Name Patient Number, United States, File Shortcuts, Placebo Female White, Subject Number, United Drug, Column Options, Active Male Black, Active Male White, Active Female White, Clinical Data Interchange Standards Consortium, High Age, Placebo Male White, Providing Regulatory Submissions, Remain Surv, External File Interface
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