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Understanding and interpreting generalized ordered logit models
The 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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Journal of Safety Research, 2012
Recent years have witnessed a growing interest in improving bus safety operations worldwide. While in the United States buses are considered relatively safe, the number of bus accidents is far from being negligible, triggering the introduction of the Motor-coach Enhanced Safety Act of 2011.The current study investigates the underlying risk factors of ...
Kaplan, Sigal, Prato, Carlo Giacomo
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Recent years have witnessed a growing interest in improving bus safety operations worldwide. While in the United States buses are considered relatively safe, the number of bus accidents is far from being negligible, triggering the introduction of the Motor-coach Enhanced Safety Act of 2011.The current study investigates the underlying risk factors of ...
Kaplan, Sigal, Prato, Carlo Giacomo
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Analytic Methods in Accident Research, 2014
This paper formulates and estimates an econometric model, referred to as the latent segmentation based generalized ordered logit (LSGOL) model, for examining driver injury severity. The proposed model probabilistically allocates drivers (involved in a crash) into different injury severity segments based on crash characteristics to recognize that the ...
Shamsunnahar Yasmin +3 more
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This paper formulates and estimates an econometric model, referred to as the latent segmentation based generalized ordered logit (LSGOL) model, for examining driver injury severity. The proposed model probabilistically allocates drivers (involved in a crash) into different injury severity segments based on crash characteristics to recognize that the ...
Shamsunnahar Yasmin +3 more
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Analytic Methods in Accident Research, 2018
Abstract The current study undertakes a unique research effort to quantify the impact of various exogenous factors on crash severity over time. Specifically, we examine if over time, the impact of exogenous variables has changed and if so what is the magnitude of the change.
Robert Marcoux +3 more
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Abstract The current study undertakes a unique research effort to quantify the impact of various exogenous factors on crash severity over time. Specifically, we examine if over time, the impact of exogenous variables has changed and if so what is the magnitude of the change.
Robert Marcoux +3 more
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Accident Analysis & Prevention, 2014
The severity of injury from vehicle crash is a result of a complex interaction of factors related to drivers' behavior, vehicle characteristics, road geometric and environmental conditions. Knowing to what extent each factor contributes to the severity of an injury is very important.
Teferi, Abegaz +4 more
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The severity of injury from vehicle crash is a result of a complex interaction of factors related to drivers' behavior, vehicle characteristics, road geometric and environmental conditions. Knowing to what extent each factor contributes to the severity of an injury is very important.
Teferi, Abegaz +4 more
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Modeling passenger loyalty in intercity rail services using a generalized ordered logit model
Public TransportLoyalty has been considered an important factor in increasing passenger satisfaction, operator’s profitability and the share of public transportation in the literature. While most previous studies on intercity services investigated passengers’ loyalty considering hypothetical statements, such as the probability of making a trip or suggesting a service ...
Pedram Akbari +2 more
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Environment, Development and Sustainability, 2020
This study analyzes the influence of household and housing characteristics on the quality of housing units people live in the communities hosting public universities in Ondo state, Nigeria. The study utilizes partially constrained/generalized ordered logistic regression technique, which has the strength to handle combination of predictor variables that
Sikiru Jimoh Babalola +1 more
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This study analyzes the influence of household and housing characteristics on the quality of housing units people live in the communities hosting public universities in Ondo state, Nigeria. The study utilizes partially constrained/generalized ordered logistic regression technique, which has the strength to handle combination of predictor variables that
Sikiru Jimoh Babalola +1 more
openaire +1 more source