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A generalized ordered logit analysis of risk factors associated with driver injury severity
Journal of Public Health, 2019Road traffic crashes remain a major public health issue and have been the subject of debate in many studies due to their effect on society. This study contributes to the discussion by investigating the risk factors that significantly contribute to driver injury severity sustained in traffic crashes. Using the crash data from the Greater Accra region of
Eric Nimako Aidoo, Williams Ackaah
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A note on generalized ordered outcome models
While there is growing application of generalized ordered outcome model variants (widely known as Generalized Ordered Logit (GOL) model and Partial Proportional Odds Logit (PPO) model) in crash injury severity analysis, there are several aspects of these
Shamsunnahar Yasmin, Naveen Eluru
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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
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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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A Bayesian Generalized Rank Ordered Logit Model: An Empirical Application
SSRN Electronic Journal, 2022Haotian Cheng +2 more
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Interpreting and using heterogeneous choice and generalized ordered logit models [PDF]
The assumptions of the ordered logit/probit models estimated by ologit and oprobit are often violated. When an ordinal regression model incorrectly assumes that error variances are the same for all cases, the standard errors are wrong and (unlike OLS regression) the parameter estimates are biased.
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Farmers' propensity to adopting nutrient-dense crops in Kenya: A generalized ordered logit approach
Despite the increasing global commitment to address undernutrition, it remains a persistent problem affecting millions of people worldwide. This paper examined farmers’ propensity to adopt new nutrient-dense food products in Kenya. This research aims to bridge the gap in understanding the factors influencing farmers' choices in adopting nutrient-dense ...Chimoita, Evans Ligare +6 more
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Improvement of Bus Operation Efficiency Based on Generalized Ordered Logit Model
CICTP 2024Rui Li +4 more
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