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Parental Preferences for Continuous Glucose Monitoring Devices in Children with Type 1 Diabetes: A Pilot Discrete Choice Experiment with Sensitivity Analysis of Decision Consistency. [PDF]
Liu Y, Huang J, Chen C, Wu J.
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Changes in HPV vaccine hesitancy and influencing factors among female university students in China: A national repeated study. [PDF]
Zhang P +4 more
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Modeling Ordered Choices: A Primer and Recent Developments [PDF]
David A. Hensher, William H. Greene
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Understanding and interpreting generalized ordered logit models
Journal of Mathematical Sociology, 2016ABSTRACTWhen outcome variables are ordinal rather than continuous, the ordered logit model, aka the proportional odds model (ologit/po), is a popular analytical method. However, generalized ordered logit/partial proportional odds models (gologit/ppo) are often a superior alternative.
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A note on the use of rankāordered logit models for ordered response categories
British Journal of Mathematical and Statistical Psychology, 2022Abstract Models for rankings have been shown to produce more efficient estimators than comparable models for first/top choices. The discussions and applications of these models typically only consider unordered alternatives. But these models can be usefully adapted to the case where a respondent ranks a set of ordered alternatives ...
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2014
The ordered logit model is a regression model for an ordinal response variable. The model is based on the cumulative probabilities of the response variable: in particular, the logit of each cumulative probability is assumed to be a linear function of the covariates with regression coefficients constant across response categories.
Grilli, Leonardo, Rampichini, Carla
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The ordered logit model is a regression model for an ordinal response variable. The model is based on the cumulative probabilities of the response variable: in particular, the logit of each cumulative probability is assumed to be a linear function of the covariates with regression coefficients constant across response categories.
Grilli, Leonardo, Rampichini, Carla
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Frequentist model averaging for multinomial and ordered logit models
International Journal of Forecasting, 2014Abstract Multinomial and ordered Logit models are quantitative techniques which are used in a range of disciplines nowadays. When applying these techniques, practitioners usually select a single model using either information-based criteria or pretesting.
Alan T.K. Wan +2 more
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A model averaging approach for the ordered probit and nested logit models with applications
This paper considers model averaging for the ordered probit and nested logit models, which are widely used in empirical research. Within the frameworks of these models, we examine a range of model averaging methods, including the jackknife method, which is proved to have an optimal asymptotic property in this paper.
Xinyu Zhang, Alan Wan
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