regression models for ordinal responses a review of methods

All the models described in this paper have much

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Unformatted text preview: outcomes have received less attention. However, since all these models are developed under rather strong assumptions (such as the proportionalodds assumption), departures from these assumptions may well result in the incorrect model formulation. It is imperative that the analyst performs (i) goodness-of-fit tests and an analysis of residuals, and (ii) sensitivity analysis by fitting and comparing different models.1 Notice that when the number of response levels is two, all models discussed above reduce to the simple logistic model for binary responses: Pr(Y = 1x) = exp (α + x′β) 1 + exp (α + x′β) (13) Our illustration of the models for ordered responses was based on a single covariate. Our intent here was to 1332 INTERNATIONAL JOURNAL OF EPIDEMIOLOGY FIGURE 1 Relative risks for lacerations by midline episiotomy based on observed data (o), proportional odds (I), constrained ( ) and unconstrained ( ) partial proportional odds models FIGURE 2 Relative risks for lacerations by midline episio...
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This document was uploaded on 02/25/2014.

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