A latent variable regression model for asymmetric bivariate ordered categorical data

2006 ◽  
Vol 33 (7) ◽  
pp. 743-753 ◽  
Author(s):  
Farid Zayeri ◽  
Anoshirvan Kazemnejad
Keyword(s):  
Regression Model ◽  
Categorical Data ◽  
Latent Variable ◽  
Ordered Categorical Data ◽  
Latent Variable Regression ◽  
Ordered Categorical

scholarly journals A new parsimonious model for ordinal longitudinal data with application to subjective evaluations of a gastrointestinal disease

2016 ◽  
Vol 27 (5) ◽  
pp. 1376-1393 ◽  
Author(s):  
Moreno Ursino ◽  
Mauro Gasparini
Keyword(s):  
Fixed Point ◽  
Categorical Data ◽  
Latent Variable ◽  
Ordinal Data ◽  
Gastrointestinal Disease ◽  
Ordered Categorical Data ◽  
Subjective Evaluations ◽  
Parsimonious Model ◽  
Two Parameters ◽  
Ordered Categorical

In this paper, a new discrete statistical model for ordered categorical data is proposed via fixed-point discretization of a beta latent variable. The resulting discretized beta distribution has a highly flexible shape and it can be either over-dispersed or under-dispersed with respect to the binomial distribution. It has only two parameters, which may therefore parsimoniously depend on covariates and on random effects, providing new tools for the analysis of structured, clustered or longitudinal ordinal data. Practical examples and advices are given and an application of the new model to subjective evaluations of a gastrointestinal disease is shown.

Sign in / Sign up

Export Citation Format

Share Document