The next meeting of the Michigan SAS Users Group will be held on Thursday, November 6 from 2:00-4:30 PM at Team Detroit in Dearborn, MI. There is no charge for attending this meeting! Here are the meeting details:
Date: Thursday, November 6, 2008 Time: 2:00 - 4:30 PM Place: Team Detroit 550 Town Center Drive Dearborn, MI 48126-2755 Cost: Free! Agenda:Using SAS® to Control and Automate a Multi SAS Program Process- Patrick Halpin, dunnhumby USA
Often times a project is comprised of many SAS® programs that need to run in a given order. Additionally, the SAS programs are dependent on previous SAS programs completing. One way to accomplish and automate this task is to use "Done" files and the SLEEP command in SAS. "Done" files are files that are created when a SAS program finishes. SAS programs dependent on previous jobs finishing look for those "Done" files to be created. Once the "Done" files are created the next SAS job in the process will start.
Using SAS to Assess Normality and Find the Optimal Transform- Brandy Sinco, University of Michigan
My presentation will cover the user-friendly features of Proc Univariate to assess normality: normality diagnostic statistics, histogram with normal curve super-imposed, and the qq-plot. I will also discuss whether to standardize the data, how SAS computes skewness and kurtosis, and interpretation of q-q plots. Then, I will show how to find the optimum transform for normality by using the Box-Cox feature in Proc TransReg.
One-Step Change from Baseline Calculations and other DOW-Loop Tricks- Nancy Brucken, i3 Statprobe
Change from baseline is a common measure of safety and/or efficacy in clinical trials. The traditional way of calculating changes from baseline in a vertically-structured dataset requires multiple DATA steps, and thus several passes through the data. This paper demonstrates how change from baseline calculations can be performed with a single pass through the data, through use of the Dorfman-Whitlock DO- (DOW-) Loop. It also looks at how similar logic may be used to overcome a limitation of PROC TRANSPOSE, and create a single record per BY statement in an output dataset using a single pass through the input dataset when transposing multiple variables simultaneously.
We hope to see you there! ====================================================================== New Titles from SAS Press Spring/Summer 2008For more details about these titles or to place an order, please visit support.sas.com/publishing or call 1-800-727-3228.
SAS Certification Prep Guide: Advanced Programming for SAS 9 By: SAS PublishingPrepare for the SAS Advanced Programming exam for SAS 9 with the official guide by the SAS Global Certification Program. The SAS Certification Prep Guide: Advanced Programming for SAS 9 prepares you to take the SAS Advanced Programming exam for SAS 9. Major topics include SQL processing with SAS, the SAS macro language, advanced SAS programming techniques, and optimizing SAS programs.
ISBN: 978-1-59994-559-0 List Price: 129.00 USDThe Global English Style Guide: Writing Clear, Translatable Documentation for a Global Market
By: John R. KohlThis detailed, example-driven guide illustrates how much technical communicators can do to make written texts more suitable for a global audience. Accompanied by an abundance of clearly explained examples, the Global English guidelines show you how to write documentation that is optimized for non-native speakers of English, translators, and even machine-translation software, as well as for native speakers of English. You'll find dozens of guidelines that you won't find in any other source, along with thorough explanations of why each guideline is useful.
ISBN: 978-1-59994-657-3 List price: 39.95 USD Validating Clinical Trial Data Reporting with SAS By: Carol I. Matthews and Brian ShillingThis indispensable guide focuses on validating programs written to support the clinical trial process from after the data collection stage to generating reports and submitting data and output to the Food and Drug Administration (FDA). The authors provide practical examples, explanations for why different techniques are helpful, and tips for avoiding errors in your output. This book is designed for SAS programmers who are new to the pharmaceutical industry as well as for those seeking a good foundation for validation in the SAS programming arena.
ISBN: 978-1-59994-128-8 List price: 36.95 USD Cody's Data Cleaning Techniques Using SAS, Second Edition By: Ron CodyThoroughly updated for SAS 9, this second edition addresses tasks that nearly every SAS programmer needs to do - that is, make sure that data errors are located and corrected. Written in Ron Cody's signature informal, tutorial style, this book develops and demonstrates data cleaning programs and macros that you can use as written or modify for your own special data cleaning needs. Each topic is developed through specific examples, and every program and macro is explained in detail.
ISBN: 978-1-59994-659-7 List price: 39.95 USD The Little SAS Book: A Primer, Fourth Edition By: Susan J. Slaughter and Lora D. DelwicheNow in its fourth edition, The Little SAS Book has become a classic, helping many people to learn SAS programming. Its friendly, easy-to-read style gently introduces readers to the most commonly used features of the SAS language. Topics include basic SAS concepts such as the DATA and PROC steps, inputting data, modifying and combining data sets, summarizing data, producing reports, and debugging SAS programs.
ISBN: 978-1-59994-725-9 List price: $49.95For more details about these titles or to place an order, please visit support.sas.com/publishing or call 1-800-727-3228.
