JSM 2005 - Toronto

Abstract #302708

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. 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, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 75
Type: Invited
Date/Time: Monday, August 8, 2005 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Consulting
Abstract - #302708
Title: A Collaborator's and Client's Guide to Solving Complex Problems with Data
Author(s): Arnold Goodman*+
Companies: UCI Center for Statistical Consulting
Address: 18231 hillcrest cicrle, villa park, CA, 92861, United States
Keywords: collaboration ; consulting ; problem-solving ; complex-problems ; multidisciplinary-problems ; massive-databases
Abstract:

Important problems and databases are now far more complex or multidisciplinary and larger than ever. Successful solutions to such problems need a comprehensive and disciplined process to be used by a collaborative team of problem, data, and statistical experts. With active participation of a client, the collaborative team should utilize its knowledge beyond statistics, before statistical analysis begins, and after a statistical solution is obtained. This session introduces a sequential and iterative problemsolving process to define the client's problem, prepare data and theory, build models and software, construct a statistical solution, and add client value to the solution. To increase the likelihood of success throughout that process, the team should genuinely commit to the client, effectively communicate, and evaluate significant results outside statistics in his environment. Checklists provide productive guidance for collaborators and their clients on "what to do" and "how to do it." Corresponding scorecards provide a meaningful approach for the client and his team to assess "how well it is done" in order to improve the results.


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Revised March 2005