Generalized linear models with scale mixture of multivariate normal (SMMVN) link functions are considered to model correlated ordinal response data. A unified Bayesian approach, which includes prior elicitation and model comparison, is proposed. In order to incorporate available prior information, we propose a class of informative prior distributions on model parameters. The propriety of the pr...

This paper presents a smooth regression model for ordinal data with longitudinal dependence structure. A marginal model with cumulative logit link is applied to cope with the ordinal scale and the main and covariate effects in the model are allowed to vary with time. Local fitting is pursued and asymptotic properties of the estimates are discussed. In a second step, the longitudinal dependence ...

In C. Reading (Ed.), Data and context in statistics education: Towards an evidence-based society. Proceedings of the Eighth International Conference on Teaching Statistics (ICOTS8, July, 2010), Ljubljana, Slovenia. Voorburg, The Netherlands: International Statistical Institute. www.stat.auckland.ac.nz/~iase/publications.php [© 2010 ISI/IASE] AN ILLUSTRATION OF MULTILEVEL MODELS FOR ORDINAL RESP...

In biomedical studies the outcome of interest may be an ordinal, rather than a dichotomous, class label such as progression of disease. An example of an ordinal variable is drug toxicity levels evaluated as mild, moderate or severe. Another example is the Breast Imaging Reporting and Data System (BIRADS) [1] classification system. After a mammogram is read, a subjective score is assigned based ...

objective: the aim of this study was to identify prognosis factors associated with recurrence in patients ‎with bipolar disorder.‎‎ method: this retrospective cohort study was conducted in hamadan province, the west of iran. all ‎patients (n = 400) with bipolar disorder who were hospitalized for the second time or more ‎during april 2008 to september 2014 were included in this study. ordinal lo...

Also, for any two ordinals X,Y either X ∈ Y or Y ∈ X. As we saw before with ordinals ∈ is simply < or ⊂. Every well-ordered set is isomorphic to an ordinal. The first ordinal is 0, the second 1 = {0}, . . . the n’th ordinal is {0, 1, 2, . . . ,n − 1}. The first infintite ordinal is ω = {0, 1, 2, . . . , n, n + 1, . . .}. The second infinite ordinal is ω + 1 = {0, 1, . . . , n, . . . , ω}. In ge...