Date: Sun, 20 Apr 2003 20:36:12 -0400 From: "Muir, Timothy" Subject: Boston Area SASŪ Users Group Quarterly Meeting Announcement WHAT: The Boston Area SASŪ Users Group Quarterly Meeting WHEN: Wednesday, May 14, 2003, 8:30AM to 12:00PM WHERE: Holiday Inn, Newton Riverside Room 399 Grove Street Newton, MA 02462 617-969-5300 INDIVIDUAL, ON-LINE REGISTRATION REQUIRED. NO EMAIL! To register visit: http://www.basug.org/register.php3 CONTACT: If you have questions about the meeting contact: William Simpson (wsimpson@hbs.edu) or Kimball Lewis (klewis@pharmetrics.com) or Karen Olson (karen.olson@TCH.Harvard.edu) AGENDA: 8:30 - 8:45 - Sign in and Coffee Break 8:45 - 9:00 - Meeting Announcements and Introductions 9:00 - 10:15 - "Application of Multiple Adaptive Regression Splines (MARS) in Direct Response Modeling" by Dominique Haughton. 10:15 - 10:30 - Coders Corner: "Using PROC MODEL and PROC NLIN to Solve Nonlinear Equations", by James Zeitler 10:30 - 10:45 - Break 10:45 - 12:00 - "Creating and Using Summary Data Sets" by Ron Cody 12:00 - Closing Comments ABSTRACTS AND BIOS: "Application of Multiple Adaptive Regression Splines (MARS) in Direct Response Modeling" by Dominique Haughton. Increasing costs of direct marketing campaigns coupled with declining response rates have prompted many direct marketers to turn to more sophisticated techniques to model response behavior. The underlying premise is that even a small improvement in response rate can have significant implications for the bottom line. This paper investigates the use of a recently developed technique, Multiple Adaptive Regression Splines (MARS), together with logistic regression in the context of modeling direct response. Specifically, our goal is to assess the relative effectiveness of MARS models vis-ā-vis logistic regression with original predictor variables in modeling direct response behavior. Our analysis shows that the MARS models outperforms the logistic model in general, leading us to conclude that MARS offers a number of advantages over a logistic model. Direct marketing strategy implications are also discussed. The analysis relies on SAS Enterprise Miner, and on the MARS software. Dr. Dominique Haughton is a Professor of Mathematical Sciences at Bentley College. Her research interests include model selection, statistics and marketing, and the analysis of living standards surveys in Vietnam. She co-leads with Professor Abdi Esghi of Bentley College the Bentley research team DART (Data Analytics Research Team). Coders Corner: "Using PROC MODEL and PROC NLIN to Solve Nonlinear Equations", by James Zeitler The task of finding roots of nonlinear equations provides a novel application for PROC MODEL and PROC NLIN. This coder's corner explores this application. James Zeitler is a research database analyst in Baker Research Services at the Harvard Business School. He has used SAS for more than sixteen years, primarily to assist with business-oriented faculty research. "Creating and Using Summary Data Sets" by Ron Cody Several SAS procedures produce summary output data sets. PROC MEANS (A.K.A. PROC SUMMARY) and PROC FREQ come to mind. This talk will discuss how to produce and use these summary data sets. Some of the version 8 and 9 additions to these procedures will be discussed as well. For example, PROC MEANS now includes a CHARTYPE option and a TYPES statement as well as an AUTONAME output option (which automatically provides names to the various output statistics). You may actually discover the mystery of the underscore variables _TYPE_ and _FREQ_. So, come and learn some new neat stuff! Dr. Ron Cody is a Professor in the department of Environmental and Community Medicine at the Robert Wood Johnson Medical School, Piscataway, New Jersey. He has been a SAS user for more than 24 years and is the author of "Applied Statistics and the SASŪ Programming Language" (fourth edition), published by Prentice Hall. He has also authored or co-authored the following books for the SAS Institute as part of their Books by Users series: The SAS Workbook, SAS Programming by Example, Cody's Data Cleaning Techniques, and Longitudinal Data and SAS: A Programmer's Guide. Ron has presented invited papers for numerous local, regional, and national SAS conferences. DIRECTIONS TO THE HOLIDAY INN DRIVING: FROM BOSTON: Take I-90 West to Exit 15, then take Route 128 South (I-95) 1/4 mile to Exit 22. When you exit, stay right and bear right at the fork onto Grove Street. Hotel is on your left. FROM SOUTH OF BOSTON: Take Route 128 North (I-95) to Exit 22. When you exit, stay right and bear right at the fork onto Grove Street. Hotel is on your left. FROM WESTERN MASS: Take I-90 East to Exit 14, then take Route 128 South (I-95) 1/4 mile to Exit 22. When you exit, stay right and bear right at the fork onto Grove Street. Hotel is on your left. FROM NEW HAMPSHIRE: Take I-93 South to Route 128 South (I-95), follow for approximately 15 miles to Exit 22. When you exit, stay right and bear right at the fork onto Grove Street. Hotel is on your left. FROM RHODE ISLAND: Take I-95 North to Route 128 North (I-95). Follow to Exit 22. When you exit, stay right and bear right at the fork onto Grove Street. Hotel is on your left. PUBLIC TRANSPORTATION: The hotel is adjacent to the Riverside T Station. From Kenmore Square take the Green Line - D (Riverside) to the Riverside stop. Hotel is adjacent to the T Station. The hotel is also accessible from downtown Boston via Express Bus #500 (EXPRESS BUS Riverside - Downtown Via Mass. Turnpike.). See http://www.mbta.com/schedmaps/bus/index.cfm for detailed bus route and schedule. Bus drops off at Riverside T Station. Hotel is adjacent to the T Station. INDIVIDUAL, ON-LINE REGISTRATION REQUIRED. NO EMAIL! To register visit: http://www.basug.org/register.php3 CONTACT: If you have questions about the meeting, contact: William Simpson (wsimpson@hbs.edu) or Kimball Lewis (klewis@pharmetrics.com) or Karen Olson (karen.olson@TCH.Harvard.edu) BASUG CONTACTS: BASUG's Mail Address: BASUG PO Box 253 Boston, MA 02117 To email our Webmaster: webmaster@basug.org SUBSCRIBE TO OUR EMAIL LIST: Subscribers receive automatic e-mail notification of upcoming meetings, courses, and conferences of interest to local SAS users. To subscribe to the BASUG message list, send a message to majordomo@basug.org, and in the BODY of the message specify: subscribe basugnews UNSUBSCRIBE TO OUR EMAIL LIST: To UNsubscribe to the BASUG message list, send a message to majordomo@basug.org, and in the BODY of the message specify: unsubscribe basugnews