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Primer on binary logistic regression [PDF]
Family Medicine and Community Health, 2021 Family medicine has traditionally prioritised patient care over research. However, recent recommendations to strengthen family medicine include calls to focus more on research including improving research methods used in the field. Binary logistic regression is one method frequently used in family medicine research to classify, explain or predict the ...
Jenine K Harris
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Fast binary logistic regression [PDF]
PeerJ Computer ScienceThis study presents a novel numerical approach that improves the training efficiency of binary logistic regression, a popular statistical model in the machine learning community.
Nurdan Ayse Saran, Fatih Nar
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Correction: Primer on binary logistic regression [PDF]
Family Medicine and Community Health, 2022 doaj +3 more sources
Binary Response Analysis Using Logistic Regression in Dentistry
International Journal of Dentistry, 2022 Multivariate analysis with binary response is extensively utilized in dental research due to variations in dichotomous outcomes. One of the analyses for binary response variable is binary logistic regression, which explores the associated factors and ...
Natchalee Srimaneekarn +3 more
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Binary logistic regression analysis
Psychiatry and Behavioral Sciences, 2015 In statistics, binary logistic regression analysis is a regression model where the dependent variable is a dichotomous categorical variable. The binary logistic model is used to estimate the probability of a binary response based on one or more ...
Selim Kılıc
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Binary logistic regression modeling with TensorFlow™. [PDF]
Ann Transl Med, 2019 Logistic regression model is one of the most widely used modeling techniques in clinical medicine, owing to the widely available statistical packages for its implementation, and the ease of interpretation. However, logistic model training requires strict assumptions (such as additive and linearity) to be met and these assumptions may not hold true in ...
Zhang Z +4 more
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Determinants of decision-making among ever-married women in Indian households: A cross-sectional study based on binary logistic regression and multinomial logistic regression. [PDF]
PLoS ONEEmpowerment of women is intrinsically linked to their participation in household decision-making, a crucial component for achieving gender equality and improving family well-being.
Riti Deshmukh, Sabina Bano, Sakshi
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Factors Affecting Home Injuries in Older Adults: An Analysis Using Binary Logistic Regression [PDF]
Health Science ReportsBackground and Aims This study aimed to identify injury patterns and contributing factors among older adults living in Tabriz City. Methods A stratified random sampling method was used to select eligible participants.
Mehdi Abbasian +5 more
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A STATISTICAL ANALYTICS OF MIGRATION USING BINARY BAYESIAN LOGISTIC REGRESSION
Barekeng, 2023 Binary logistic regression is utilized in research to understand the relationship between multiple independent variables and a binary response variable. In logistic regression modelling, parameter estimation is regarded as a vital stage.
Devi Azarina Manzilir Rohmah +2 more
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Smart Grid Monitoring by Wireless Sensors Using Binary Logistic Regression
Energies, 2020 This article focuses on addressing the data aggregation faults caused by the Phasor Measuring Unit (PMU) by installing Wireless Sensor Networks (WSN) in the grid.
Hariprasath Manoharan +5 more
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