Ordinal Response Modeling Application for Evaluation of Outcomes from a Prevention Education Program

• Activity Number: 135
• Type: Contributed
• Date/Time: Monday, August 4, 2014 : 8:30 AM to 10:20 AM
• Sponsor: Section on Statistical Consulting
• Author(s): Xiaohui Wang*+
• Companies: University of Texas Pan American
• Keywords: ordinal response modeling ; GEE ; transitional ordinal modeling

Abstract

There were 2768 participants enrolled in the Alliance for a Healthy Border program, a chronic disease prevention program through twelve federally qualified community health centers serving primarily Hispanics in communities along the U.S.-Mexico border. Survey and health measurements were obtained at three time points according to the pre-post-post study design. Successes of the program were evaluated using cross-sectional analysis in previous studies based on various outcomes such as weight reduction, glycemic control, and physical activity improvement. In this paper, we used several ordinal response modeling methods to evaluate program successes. The ordinal response modeling methods include generalized estimating equation (GEE) approach for cumulative logit models and transitional ordinal modeling with and without explanatory variables.