220263 Decision tree modelling for public health applications

Tuesday, November 9, 2010 : 1:30 PM - 1:50 PM

Din Chen, PhD , School of Nursing, University of Rochester, Rochester, NY
     
In this talk, I will begin with the classical decision tree modelling such as the classification and regression trees (CART) and then talk about the extension to the multivariate adaptive regression splines (MARS) with application to public health consideration on modelling the prevalence of diabetes to obesity and other cardiovascular risk factors.

Learning Areas:
Biostatistics, economics

Learning Objectives:
1. Explain the classical decision tree modelling such as the classification and regression trees (CART) 2. Demonstrate the extension to the multivariate adaptive regression splines (MARS) 3. Analyze public health data on modelling the prevalence of diabetes to obesity and other cardiovascular risk factors.

Keywords: Biostatistics, Disasters

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am qualified to present because I am a biostatistics professor and understand the decision tree as well as its applications to public health.
Any relevant financial relationships? No

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.

Back to: 4219.0: Statistical Modeling in Public Health II