An Application of Multinomial Response Models Using Bayesian Approach

Abstract

This study focuses on a specific case of Generalized Linear Models for multinomial responses and investigates their analysis using Bayesian methods. The important problem of surgical planning for arterial occlusive disease is considered in some detail, as a medical application of these models. The study investigates the potential benefits which accrue when these ideas are applied to the important medical problem of locating and assessing the severity of lower-limb arterial occlusive disease.