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Bibliographical entry (without author) : | Regression models for ordinal responses: a review of methods and applications. Int J Epidemiol. 1997 Dec;26(6):1323-33. |
Author(s) : | Ananth CV, Kleinbaum DG. |
Year of publication : | 1997 |
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Abstract (English) : | 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 information. Several statistical models for ordinal responses have been proposed, but have been underutilized. In this paper, we describe statistical methods for modelling ordinal response data, and illustrate the fit of these models to a large database from a perinatal health programme. |
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Comments : | Dans le texte : Women with midline episiotomy are 5.4 (95% CI:3.7-7.9) times at greater risk of a 4th laceration relative to women with no episiotomy. Mais, |
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Author of this record : | Cécile Loup — 27 Apr 2004 |
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