AD07 A Sample Delivery System for A Multi-Site Study Using SAS On A UNIX Platform     Invited

Gabriel Cano
MCNC - Environmental Modeling Center
Abstract: Planning a monthly sample delivery system for a multi-site study is a non-trivial undertaking. Management can be cumbersome over time if basic issues are not addressed prior to sampling. Issues of concern at the outset of the system are the computing envir onment, sampling design, major processes, and data management. Once data have been received there may be very few chances to make adjustments to the system. It is for this reason that the most generalized approach is best so that needed changes can be acco mmodated throughout the life of the system. Monthly data receipt and sample delivery makes system development challenging. This presentation will focus on methods for generalizing SAS code, large-scale data management issues, reacting to unforeseen proble ms in a study, and taking advantage of the UNIX Operating System.

Biography:
Mr. Cano has worked for the MCNC Environmental Modeling Center in RTP, North Carolina for 10 months. He is a Software Engineer/Statistician and is involved with software development for products analyzing pollutant emissions. The paper he is presenting is based on work he did during his 5 year tenure as a Statistician at Research Triangle Institute in RTP, North Carolina. His interests include data visualization, linear modeling, and statistical methods.