How Are BMI, Nutrition, and Physical Exercise Related? An Application of Ordinal Logistic Regression [PDF]
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 +4 more
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Validation of in silico biomarkers for drug screening through ordinal logistic regression [PDF]
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.
Da Un Jeong +4 more
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Determinants of newborn birth size in Somaliland: an ordinal logistic regression analysis [PDF]
Background Understanding the predictors of birth size is essential for designing effective interventions to reduce neonatal morbidity and mortality in Somaliland.
Abdirahman Omar Ibrahim +8 more
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Sparse Ordinal Logistic Regression and Its Application to Brain Decoding
Brain decoding with multivariate classification and regression has provided a powerful framework for characterizing information encoded in population neural activity.
Emi Satake +4 more
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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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A comparative study of ordinal logistic regression and machine learning models for predicting women’s malnutrition in bangladesh: evidence from BDHS 2022 [PDF]
Malnutrition, including both undernutrition and overnutrition, remains a major public health concern in Bangladesh, particularly among women of reproductive age.
Umme Kulsum +3 more
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Ordinal Logistic Regression Analysis in Determining Factors Associated with Socioeconomic Status of Household in Tepi Town, Southwest Ethiopia [PDF]
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.
Mesfin Esayas Lelisho +2 more
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ORDINAL LOGISTIC REGRESSION MODEL AND CLASSIFICATION TREE ON ORDINAL RESPONSE DATA
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.
Jajang Jajang +2 more
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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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This research was conducted to determine the variables that have a significant impact on the stages of a well-off family in Sidemen Sub-district based on indicators obtained from the BKKBN and to classify the stages of a well-off family.
I GUSTI NGURAH SENTANA PUTRA +2 more
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