Elastic Net Constrained Stereotype Logit Model for Ordered Categorical Data

Elastic Net Constrained Stereotype Logit Model for Ordered Categorical Data

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 ...

Ordered Logit Analysis For Selectively Sampled Data

When customers are classified into ordered categories, which are defined from the outset, it may happen that the majority belongs to a single category. If a market researcher is interested in the correlation between the classification and individual characteristics, the natural question is whether one needs to collect data for all customers in that particular category. We address this question ...

A Generalized Linear Model for Repeated Ordered Categorical Response Data

We proposed a new approach to model longitudinal data consisting of transitional frequencies classified according to an ordered categorical response variable. Following an approach of Kalbfleisch and Lawless (1985), the responses are assumed to be sampled from an underlying continuous-time finite-state-space Markov chain, with the further assumption that direct transitions are strictly between ...

On Rank-Ordered Nested Multinomial Logit Model and D-Optimal Design for this Model

In contrast to the classical discrete choice experiment, the respondent in a rank-order discrete choice experiment, is asked to rank a number of alternatives instead of the preferred one. In this paper, we study the information matrix of a rank order nested multinomial logit model (RO.NMNL) and introduce local D-optimality criterion, then we obtain Locally D-optimal design for RO.NMNL models in...

Adaptive Tests for Ordered Categorical Data