Table 5: An ordered logistic regression model of smoking and adenoma occurrence among individuals () undergoing screening colonoscopy in the New Hampshire Colonscopy Registry from 2004–2006. | ||||||||||||||||||||||||||||||||||

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categories include 5 mm, 5–9 mm, 1 cm; odds ratios represent the proportional odds for the logit model. Thus, for one unit change in the predictor variable, the odds for cases in a group less than or equal to a given size category of polyp are the proportional odds times larger. for assumption of proportionality of odds across response categories, using a likelihood ratio test, showed that the assumptions of the ordinal logistic regression were met (). reported are odds ratios for each variable in the model, adjusted for all other variables included in the model as shown here. history was defined as a reported diagnosis of colon or rectal cancer in a mother, father, sibling, or child of the patient. . |