Results 231 to 240 of about 28,112 (273)

Might low-protein diet for chronic kidney disease patients be successful A case study with the application of a random effects ordered probit model

International Journal of Computational Economics and Econometrics, 2023
A low-protein diet (LPD) in chronic kidney disease (CKD) patients delays the natural progression towards end-stage renal disease. The identification of the factors that guarantee patients' adherence to the diet may help physicians to provide a better assistance as well as improving patients' quality of life.
Gitto, Lara   +5 more
semanticscholar   +3 more sources

Empirical comparison of the effects of urban and rural crashes on motorcyclist injury severities: A correlated random parameters ordered probit approach with heterogeneity in means

Accident Analysis & Prevention, 2021
In Thailand in 2016, more than 70% of all deaths due to road accidents were motorcyclist deaths. This study uses a correlated random parameters ordered probit model with heterogeneity in means (CRPOPHM) to obtain insight into differences in the significant factors determining the severity of motorcyclist injury between motorcycle crashes in urban and ...
Chamroeun, Se   +4 more
openaire   +3 more sources

A random effects ordered probit model for rating migrations

Finance Research Letters, 2010
Abstract Employing a random effects ordered probit model, this paper examines the sources of heterogeneity in sovereign credit ratings in emerging economies. The analysis uses data from six rating agencies for 90 countries. The model highlights the importance of considering the cross-section error, which captures country-specific heterogeneity, in ...
Rasha Alsakka, Owain ap Gwilym
openaire   +2 more sources

Investigation of factors affecting the injury severity of single-vehicle rollover crashes: A random-effects generalized ordered probit model

Accident Analysis & Prevention, 2017
Rollover crashes are responsible for a notable number of serious injuries and fatalities; hence, they are of great concern to transportation officials and safety researchers. However, only few published studies have analyzed the factors associated with severity outcomes of rollover crashes. This research has two objectives.
Alireza Jafari, Anarkooli   +2 more
openaire   +3 more sources

Adjusting Self-Assessed Health for Potential Bias Using a Random-Effects Generalized Ordered Probit model

2015
We study how socioeconomic conditions, especially relative household income, affect self-assessed health. We use a random effects generalized ordered probit model with data from China Health and Nutrition Survey (CHNS) to test for heterogeneity in how people assess their health.
Yang, Qingqing   +3 more
semanticscholar   +4 more sources

Composite Likelihood Estimation of an Autoregressive Panel Ordered Probit Model with Random Effects

Journal of Business & Economic Statistics, 2022
Modeling and estimating autocorrelated discrete data can be challenging. In this article, we use an autoregressive panel ordered probit model where the serial correlation in the discrete variable is driven by the autocorrelation in the latent variable ...
Kerem Tuzcuoglu
openaire   +2 more sources

Analysis of Factors Influencing Individuals' Probability of Smoking in Turkey: A Random-Effects Ordered Probit Model

Akademik Ziraat Dergisi, 2023
Amaç: Bu çalışma, ailelerin veya aile bireylerinin sosyo-demografik ve ekonomik özellikleri ile sigara tüketme olasılığı arasındaki ilişkiyi anlamayı amaçlamıştır.
Faruk Urak
semanticscholar   +1 more source

Analysis of factors affecting occupant injury severity in rear-end crashes by different struck vehicle groups: A random thresholds random parameters hierarchical ordered probit model

Journal of Transportation Safety & Security, 2022
This study aims to explore the variability of risk factors affecting injury severity in rear-end crashes when different struck vehicle groups are involved.
Renteng Yuan   +3 more
semanticscholar   +1 more source

Ordered correlation forest

Social Science Research Network, 2023
. Empirical studies in various social sciences often involve categorical outcomes with inherent ordering, such as self-evaluations of subjective well-being and self-assessments in health domains. While ordered choice models, such as the ordered logit and
Riccardo Di Francesco
semanticscholar   +1 more source

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