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Sunday Morning WorkshopsGet a jump start on the conference by taking advantage of Sunday Workshops being offered on NESUG 2007 opening day! These workshops provide you an opportunity to explore a topic not otherwise offered during the conference, or to delve more deeply into a topic of interest to you. They are open to registered conference attendees for an additional fee of $150 per workshop. To participate, click the appropriate boxes when registering. Please note that space is limited and registration will be accepted on a first-come, first-served basis at the conference.
PROC SQL for DATA Step Die-Hards Christianna Williams, Abt Associates Inc. Overview: PROC SQL can be rather intimidating for those who have learned SAS® data management techniques using exclusively the DATA Step. However, when it comes to data manipulation, SAS often provides more than one method to achieve the same result, and SQL provides another valuable tool to have in one's repertoire. Further, Structured Query Language is implemented in many widely used relational database systems with which SAS may interface, so it is a worthwhile skill to have from that perspective as well. This workshop will present a series of increasingly complex examples and hands-on exercises. In each case I will demonstrate the DATA Step method with which users are probably already familiar, followed by SQL code that will accomplish the same data manipulation. The simplest examples will include subsetting variables (columns, in SQL parlance) and observations (rows), while the most complex situations will include MERGEs (JOINS) of several types and the summarization of information over multiple observations for BY groups of interest. In this hands-on presentation, I'll then pose a data manipulation challenge, providing a skeleton of the needed SQL code to give attendees a chance to try out the technique just presented. This approach will clarify for which situations the DATA STEP method or, conversely, PROC SQL would be better suited. The attendee will come away with a good grounding in Data Step to PROC SQL translation – die-hard Data Step-ers may even find themselves "thinking in SQL"! Instructor's bio: Christianna Williams is a Senior Associate with Abt Associates in the Health Policy Division. She received her PhD in Epidemiology from Yale University in 2002. Christianna has been using SAS for data management and statistical analysis in research since 1985. A member of the NESUG Executive Committee, she was conference co-chair for NESUG 2007 in Baltimore. She can’t decide which she prefers – writing SAS programs or teaching other people about SAS!
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