Multinomial Logistic Regression model to measure the customer preferences respect to the pharmaceutical sector: case Ambato, Ecuador [PDF]
Journal of Pharmacy & Pharmacognosy Research, 2018 Context: The investigation includes the Ecuadorian pharmaceutical market from the business competitive point of view, focusing on the service offered by the Farmacias Cruz Azul and Farmacias Económicas franchises. Aims: To determine the main variables
Edison R. Valencia, Álvaro J. Bonifaz
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Navigating personal recovery: multinomial logistic regression analysis of schizophrenia outcomes in community-dwelling individuals [PDF]
General PsychiatryBackground Schizophrenia is a chronic mental disorder affecting individuals globally, emphasising the significance of personal recovery in mental healthcare.
Jintana Yunibhand +2 more
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Reduced rank multinomial logistic regression in Markov chains with application to cognitive data. [PDF]
Stat Med, 2021 Wang P +6 more
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Multifactorial drivers of engagement in sex work among Ethiopian women: a multinomial logistic regression approach. [PDF]
Front Glob Womens HealthDuressa DS, Debel LN, Abrahim SA.
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Burden of abnormal nutritional indices among women aged 15-24 years in 40 low-income and middle-income countries: a multilevel multinomial logistic regression analysis. [PDF]
BMJ OpenLahole BK, Wengoro BF, Mare KU.
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Health insurance risk classification using multinomial logistic regression
International Journal of Computer Engineering and Data Science, 2023 In a health insurance portfolio, not all policyholders possess similar risk levels; specific individuals exhibit higher risk than others. Consequently, it might appear inequitable to impose the same premium on everyone.
Fatima EL KASSIMI +2 more
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Multiclass Classification by Sparse Multinomial Logistic Regression [PDF]
IEEE Transactions on Information Theory, 2021 In this paper we consider high-dimensional multiclass classification by sparse multinomial logistic regression. We propose first a feature selection procedure based on penalized maximum likelihood with a complexity penalty on the model size and derive the nonasymptotic bounds for misclassification excess risk of the resulting classifier.
Felix Abramovich +2 more
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Can Multinomial Logistic Regression Predicts Research Group using Text Input?
Knowledge Engineering and Data Science, 2022 While submitting proposals in SISINTA, students often confuse or falsely submit their proposals to the less relevant or incorrect research group. There are 13 research groups for the students to choose from.
Harits Ar Rosyid +3 more
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Classification of Hypertension in Pregnant Women Using Multinomial Logistic Regression
JTAM (Jurnal Teori dan Aplikasi Matematika), 2023 Maternal Mortality Rate (MMR) is still a crucial problem in Indonesia and other developing countries; one of the causes is Hypertension in Pregnancy (HDK). This study aims to classify hypertension in pregnant women based on the factors that influence it,
Yuniar Farida +2 more
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Robust Minimum Divergence Estimation for the Multinomial Circular Logistic Regression Model
Entropy, 2023 Circular data are extremely important in many different contexts of natural and social science, from forestry to sociology, among many others. Since the usual inference procedures based on the maximum likelihood principle are known to be extremely non ...
Elena Castilla, Abhik Ghosh
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