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Abstract #165793

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Bobby L. Jones, PhD and Daniel S. Nagin, PhD. H. John Heinz III School of Public Policy and Management, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213-3890, (412) 268-8521, bjones@andrew.cmu.edu

Group-based methods are used to identify distinct clusters of individuals following similar patterns of an outcome measured over time, or to provide a flexible approximation to a possibly complex underlying population distribution of individual outcomes. Proc TRAJ is a SASprocedure written by the authors that fits a group-based model to longitudinal data. Proc TRAJ is available free for download with documentation and examples at http://www.andrew.cmu.edu/user/bjones/index.htm. An overview of the model and software will be illustrated with a data application.

Learning Objectives: Participants (learners) will know

(
• fundamentals of finite mixture methods and their relevance in addressing important public health questions; (
• examples of how to utilize Proc TRAJ to fit the finite mixture model; (
• resources available to assist in the use of Proc TRAJ.

Presenting author's disclosure statement:

Any relevant financial relationships? No
Any institutionally-contracted trials related to this submission?

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.

• Slides (pdf) or Handout