Regression models for ordinal responses: a review of methods and applications

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Regression models for ordinal responses: a review of methods and applications.

BACKGROUND Epidemiologists are often interested in estimating the risk of several related diseases as well as adverse outcomes, which have a natural ordering of severity or certainty. While most investigators choose to model several dichotomous outcomes (such as very low birthweight versus normal and moderately low birthweight versus normal), this approach does not fully utilize the available i...

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In many longitudinal studies, nominal and ordinal mixed bivariate responses are measured. In these studies, the aim is to investigate the effects of explanatory variables on these time-related responses. A regression analysis for these types of data must allow for the correlation among responses during the time. To analyze such ordinal-nominal responses, using a proposed weighting approach, an ...

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ELECTRE: Robust ordinal regression for outranking methods

Article history: Received 25 October 2010 Accepted 31 March 2011 Available online 8 April 2011

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ژورنال

عنوان ژورنال: International Journal of Epidemiology

سال: 1997

ISSN: 1464-3685

DOI: 10.1093/ije/26.6.1323