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• W1933098239 abstract "Many medical and epidemiologic studies incorporate an ordinal response variable. In some cases an ordinal response Y represents levels of a standard measurement scale such as severity of pain (none, mild, moderate, severe). In other cases, ordinal responses are constructed by specifying a hierarchy of separate endpoints. For example, clinicians may specify an ordering of the severity of several component events and assign patients to the worst event present from among none, heart attack, disabling stroke, and death. Still another use of ordinal response methods is the application of rank-based methods to continuous responses so as to obtain robust inferences. For example, the proportional odds model described later allows for a continuous Y and is really a generalization of the Wilcoxon-Mann-Whitney rank test." @default.
• W1933098239 created "2016-06-24" @default.
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• W1933098239 date "2001-01-01" @default.
• W1933098239 modified "2023-10-17" @default.
• W1933098239 title "Ordinal Logistic Regression" @default.
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• W1933098239 doi "https://doi.org/10.1007/978-1-4757-3462-1_13" @default.
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