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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.
exaly +2 more sources
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 ...
Carlo G Prato, Sigal Kaplan
exaly +6 more sources
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 ...
Carlo G Prato, Sigal Kaplan
exaly +6 more sources
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 +2 more
exaly +3 more sources
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 +2 more
exaly +3 more sources
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.
Shamsunnahar Yasmin +2 more
exaly +3 more sources
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.
Shamsunnahar Yasmin +2 more
exaly +3 more sources
Accident Analysis and 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.
Yemane Berhane, Teferi Abegaz
exaly +3 more sources
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.
Yemane Berhane, Teferi Abegaz
exaly +3 more sources
Board gender diversity and sustainability reporting quality: a generalized ordered logit approach
Kybernetes, 2023PurposeWith growing environmental and social issues worldwide, sustainability disclosures and reporting have become a focal point of discussion. This study aims to investigate the role played by gender diversity in sustainability disclosures in the context of India, over a period of eight years.Design/methodology/approachThe study devises a unique ...
Shubham Singhania +3 more
openaire +2 more sources