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Section/Event DescriptionsThis year's conference sections will span the range of tasks that SAS performs and offer presenters and attendees a variety of presentation formats. Check back for updates. Call for Papers: Feb. 26 - April 30
For more information, please contact the section chair(s).
The Foundations and Fundamentals Section provides an overview of tools and core conceptswhicharequite usefulinbuilding a solid understanding of SAS® programming. This section includes learning opportunities for newer SAS® users as well as best practices appealing to those with more experience. Presentation topics may include Data Step processing, Macros and macro coding, SQL, ODS, SAS Formats, SAS Procedures and moving data between SAS and Microsoft Excel or other external databases.
Graphics and Data Visualization The Graphics and Visualization section is looking for papers that highlight techniques for presenting data in innovative, effective and aesthetically appealing ways. Over the years SAS has made significant advances in the tools available for information dissemination. The possibilities are endless:
Anything related to making information more readable, understandable and effective is appropriate.
The Hands-On Workshops Section focuses on learning by doing. Computers are provided for attendees so that they can reinforce their understanding of presentation content by accompanying the instructor through exercises and examples.Workshop topics may include, but are not limited to, established or new SAS techniques, ODS, PROC SQL, graphics, data manipulation,multi-sheet Excel workbooks and more. Hands-On Workshops accommodate attendees at both the beginning and intermediate levels and generally run for 90 minutes.
The Health Care and Life Sciences Section is devoted to presentations on using SAS technologies and solutions within the Health Care and Life Sciences industries. This section also seeks experiences from health insurers who have benefited from SAS strategies for mining of claims data, providing real-time analyses, monitoring quality, or for partnering with providers to develop effective disease and case management strategies. This section also welcomes topics from other quantitative health sciences including epidemiology, health economics, and outcomes research.
In the Posters Section a hard-copy display can be used to convey virtually any material, but is especially well suited to complex visual concepts. Viewers will have the opportunity to examine the material at their own pace and revisit it, as these displays are available for a day or more during the conference. Presenters are at their displays for a brief period of time to explain their work and interact directly with the viewers.
The Programming Beyond the Basics Section is focused on a wide range of examples of more advanced uses of SAS programming and products. Topics include Data Step concepts, SQL queries, macro usage, ODS tricks, SAS working with other software products, efficiency techniques, ensuring data quality, data delivery techniques, new tools available in version 9.2, and other tips to further advance SAS skills.
The Statistics and Analysis section will cover a wide range of uses of SAS for data analysis, including modeling, pattern recognition, forecasting, quality improvement and optimization. Papers can either describe the use of SAS-provided procedures and products or present user-crafted implementations built with the DATA step, the IML procedure, SAS/GRAPH, SAS/QC, SAS/ETS, SAS/OR or similar tools. Authors can either present fundamental statistical methods or report on statistical applications in particular disciplines, industries, or organizational functions. In addition, we are particularly interested in papers that focus on applications of some of the newer procedures in SAS/STAT, such as those for survey data analysis (e.g., SURVEYREG or SURVEYLOGISTIC), linear models (e.g., GLIMMIX, GLMSELECT, or QUANTREG), and Bayesian analysis (BGENMOD, BLIFEREG, or BPHREG), as well as ODS Statistical Graphics. Papers that present uses of SAS Business Intelligence (BI) software for analytic goals are also welcome here.
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