JSM 2004 - Toronto

Abstract #300836

This is the preliminary program for the 2004 Joint Statistical Meetings in Toronto, Canada. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2004); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number: 70
Type: Topic Contributed
Date/Time: Monday, August 9, 2004 : 8:30 AM to 10:20 AM
Sponsor: Biopharmaceutical Section
Abstract - #300836
Title: Continuing Statistical Education for Practicing Professionals
Author(s): Robert S. Schulman*+
Companies: Virginia Polytechnic Institute and State University
Address: Department of Statistics, Blacksburg, VA, 24061-0439,
Keywords: continuing education ; professional development ; short courses ; training
Abstract:

Practicing professionals must continually improve their skills and remain current with relevant developments, but generally cannot take a semester off work to take standard college or graduate courses. As a result, most continuing education opportunities involve intensive three- to five-day training sessions. This concentrated format requires a different mindset from participants and a different presentation strategy from the instructor. Unlike familiar college courses, where the students are, say, first-year graduate students in a specific discipline, participants in continuing education seminars typically vary widely in their background, mathematical sophistication, analytical needs, and familiarity with statistical software. The author, an award-winning instructor with 30 years of college teaching experience and 20 years of practice conducting short courses, will address the special considerations associated with statistical training for practicing professionals in the pharmaceutical and other fields. These include such issues as pace and quantity of material presented, use of multiple lecture and interaction styles, and practical demonstration of statistical software.

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Revised March 2004