In typical clinical trials or epidemiologic studies of a bilateral eye disease, the primary outcome data consist of pairs of ordered categorical responses that tend to be highly correlated. In such studies, interest often centres in associating the outcome data with a grouping variable such as the t
Compound Regression Models for Ordered Categorical Data
โ Scribed by Dr. Gerhard Tutz
- Publisher
- John Wiley and Sons
- Year
- 1989
- Tongue
- English
- Weight
- 787 KB
- Volume
- 31
- Category
- Article
- ISSN
- 0323-3847
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โฆ Synopsis
A general class of sequential models for the analysis of ordered categorical variables ie developed and discussed. The models apply if the ordinal response may be subdivided into two or more meaningful sets of response categorim. The parametrizetion explicitly makes use of this subdivision. The models furnish a linear alternative to non-linear models which incorporate a scale parameter. They are shown to be special cases of multivariate generalized linear models. Applications are discussed with the use of several examples.
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This paper presents an extended threshold model for analyzing ordered categorical date. The model admits interactions between the position of the thresholds and the levels of the effective factors. These interactions are described according to the approach of &=EN and GRAYBILL (1970). hpecially im
**Praise for the First Edition** "This is a superb text from which to teach categorical data analysis, at a variety of levels. . . [t]his book can be very highly recommended." โ*Short Book Reviews* "Of great interest to potential readers is the variety of fields that are represented in the examp
This article summarizes recent advances in the modelling of ordered categorical (ordinal) response variables. We begin by reviewing some models for ordinal data introduced in the literature in the past 25 years. We then survey recent extensions of these models and related methodology for special typ