Ontology highlight
ABSTRACT:
SUBMITTER: Leon-Novelo LG
PROVIDER: S-EPMC3062977 | biostudies-literature | 2010 Sep
REPOSITORIES: biostudies-literature
Biometrics 20100901 3
This article addresses modeling and inference for ordinal outcomes nested within categorical responses. We propose a mixture of normal distributions for latent variables associated with the ordinal data. This mixture model allows us to fix without loss of generality the cutpoint parameters that link the latent variable with the observed ordinal outcome. Moreover, the mixture model is shown to be more flexible in estimating cell probabilities when compared to the traditional Bayesian ordinal prob ...[more]