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Unformatted text preview: research.
Conclusions. This paper presents a synthesized review of generalized linear regression models for analysing ordered
responses. We recommend that the analyst performs (i) goodnessoffit tests and an analysis of residuals, (ii) sensitivity
analysis by fitting and comparing different models, and (iii) by graphically examining the model assumptions.
Keywords: Multinomial probabilities, ordinal models, cumulative logit model, continuationratio model, partialproportional
odds model, polytomous logistic model, stereotype logistic model trial of a singledose, postoperative analgesic clinical
trial.2 A series of four drugs, denoted by C15, C60,
Z100, and EC4 were randomized to patients. The
patient responses to the drug were recorded on a fivelevel ordinal scale (poor, fair, good, very good and excellent). Counts for the most favourable responses,
‘very good’ and ‘excellent’, were amalgamated into one
category (‘very good’) due to sparse cell counts. The
two drugs Z100 and EC4 were found to be quite similar
and together rated better...
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 Spring '11

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