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: Linear Mixed Models for Assessing Longitudinal Mediation; Negative Binomial Mixed Regression Modeling of Corona Atherosclerosis Hospitalizations; Markov Modeling Techniques for Selecting Morbidity; and Spatial Modeling of the Health Care Workforce in Georgia.

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)