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Multinomial structuring in linear regression
Model Assisted Statistics and Applications, 2008Ordinary linear regression produces a good fit for the observations close to the mean point. To improve the fit for the values far from the mean point, an implement by the multinomial logit model is suggested. Segmenting the values of the dependent variable to several sections, it is possible to present a theoretical model via a linear aggregate of the
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Multinomial Logistic Regression (55 Patients)
2012Primary question: the numbers of patients falling out of bed with and without injury are assessed in two hospital departments. It is expected that the department of internal medicine will have higher scores.
Ton J. Cleophas, Aeilko H. Zwinderman
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Multinomial regression models based on continuation ratios
Statistics in Medicine, 1988AbstractThis paper concerns continuation ratio models for multinomial responses. These are conditional probabilities used in logit models to define the dependence of the multinomial proportions on explanatory variables and unknown parameters. A distinctive feature of these models is that if one models the various continuation ratios separately, then ...
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A mixed‐effects multinomial logistic regression model
Statistics in Medicine, 2003AbstractA mixed‐effects multinomial logistic regression model is described for analysis of clustered or longitudinal nominal or ordinal response data. The model is parameterized to allow flexibility in the choice of contrasts used to represent comparisons across the response categories.
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Multinomial Regression Versus Quantile
2021Ton J. Cleophas, Aeilko H. Zwinderman
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