How Are BMI, Nutrition, and Physical Exercise Related? An Application of Ordinal Logistic Regression [PDF]
Life, 2022 Background: This paper performs a detailed ordinal logistic regression study in an evaluation of a survey at a university in South Texas, USA. We show that, for categorical data in our case, ordinal logistic regression works well. Methods: The survey was
Hongwei Wang, Muhammad Mohebujjaman
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ORDINAL LOGISTIC REGRESSION MODEL AND CLASSIFICATION TREE ON ORDINAL RESPONSE DATA
BAREKENG: Jurnal Ilmu Matematika dan Terapan, 2022 Logistic regression (LR) is a model that associates the relationship between category-type response variables with quantitative or quantitative and qualitative predictor variables. The prediction of the LR model is in the form of probability. This research studied logistic regression (LR) models and Classification Trees in the case of ordinal ...
Jajang Jajang +2 more
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Sparse ordinal logistic regression and its application to brain decoding [PDF]
Frontiers in Neuroinformatics, 2017 Abstract Brain decoding with multivariate classification and regression has provided a powerful framework for characterizing information encoded in population neural activity. Classification and regression models are respectively used to predict discrete and continuous variables of interest.
Emi Satake +4 more
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Validation of in silico biomarkers for drug screening through ordinal logistic regression. [PDF]
Front Physiol, 2022 Since the Comprehensive in vitro Proarrhythmia Assay (CiPA) initiation, many studies have suggested various in silico features based on ionic charges, action potentials (AP), or intracellular calcium (Ca) to assess proarrhythmic risk.
Jeong DU +3 more
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Mathematics, 2023 Logistic regression is one of statistical methods that used to analyze the correlation between categorical response variables and predictor variables which are categorical or continuous.
Marisa Rifada +2 more
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Determinants of newborn birth size in Somaliland: an ordinal logistic regression analysis. [PDF]
Arch Public HealthBackground Understanding the predictors of birth size is essential for designing effective interventions to reduce neonatal morbidity and mortality in Somaliland.
Ibrahim AO +8 more
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A comparative study of ordinal logistic regression and machine learning models for predicting women's malnutrition in bangladesh: evidence from BDHS 2022. [PDF]
J Health Popul NutrMalnutrition, including both undernutrition and overnutrition, remains a major public health concern in Bangladesh, particularly among women of reproductive age.
Kulsum U, Haque A, Barai P, Hossain MM.
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Ordinal Logistic Regression Analysis in Determining Factors Associated with Socioeconomic Status of Household in Tepi Town, Southwest Ethiopia. [PDF]
ScientificWorldJournal, 2022 Background. Socioeconomic status (SES) refers to an individual’s or group’s social position or class, which is often determined by a combination of education, income, and occupation.
Lelisho ME, Wogi AA, Tareke SA.
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Frontiers in Sustainable CitiesPedestrians are the most victimized group in traffic accidents, and this has raised concerns about pedestrian safety in urban Ethiopia. The aim of this study is to determine the factors that affect pedestrian safety in Addis Ababa city Roads.
Temesgen Walelign Bishaw +2 more
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Jambura Journal of Mathematics, 2023 Diabetes is one of the high-risk diseases. The most prominent symptom of this disease is high blood sugar levels. People with diabetes in Indonesia can reach 30 million people.
Assyifa Lala Pratiwi Hamid +4 more
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