Oral

The purpose of this session is to provide a forum for public health researchers to present results of their investigations in the statistical modeling of public health data. The relevance and importance of the session is to educate attendees about the attendant statistical methods in modeling data arising in a number of public health settings: Approaches of Model Specification for Testing Factor Mean Differences in Higher-order CFA Models; Decision tree modeling for public health applications; Cancer Incidence Study: The Application of Bayesian Multi-stage Carcinogenesis Model; and Cognitive Diagnostic Modeling Approach to Assess the Mastery and the Prevalence of Specific Competencies in a Basic Emergency Preparedness Course.

Session Objectives: Describe several statistical models applicable to public health problems Explain how statistical models are applied to public health data Demonstrate the application of several statistical models to public health data

CE Credits: Medical (CME), Health Education (CHES), Nursing (CNE), Public Health (CPH)