Articles with "binary logistic" as a keyword



Sex estimation: a comparison of techniques based on binary logistic, probit and cumulative probit regression, linear and quadratic discriminant analysis, neural networks, and naïve Bayes classification using ordinal variables

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Published in 2019 at "International Journal of Legal Medicine"

DOI: 10.1007/s00414-019-02148-4

Abstract: The performance of seven classification methods, binary logistic (BLR), probit (PR) and cumulative probit (CPR) regression, linear (LDA) and quadratic (QDA) discriminant analysis, artificial neural networks (ANN), and naïve Bayes classification (NBC), is examined in… read more here.

Keywords: classification; probit; sex estimation; binary logistic ... See more keywords

Development of Two Empirical Correlations for Tunnel Squeezing Prediction Using Binary Logistic Regression and Linear Discriminant Analysis

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Published in 2018 at "Geotechnical and Geological Engineering"

DOI: 10.1007/s10706-018-00758-0

Abstract: Squeezing as a large time-dependent deformation can result in irreparable damages for tunneling projects. The accurate prediction of this phenomenon in preliminary stages of tunneling projects has a remarkable role on reducing its destructive effects.… read more here.

Keywords: logistic regression; squeezing prediction; empirical correlations; binary logistic ... See more keywords
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Pain Monitoring Using Heart Rate Variability and Photoplethysmograph-Derived Parameters by Binary Logistic Regression

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Published in 2021 at "Journal of Medical and Biological Engineering"

DOI: 10.1007/s40846-021-00651-x

Abstract: To construct a pain classification model using binary logistic regression to calculate pain probability and monitor pain based on heart rate variability (HRV) and photoplethysmography (PPG) parameters. Heat stimulation was used to simulate pain for… read more here.

Keywords: logistic regression; classification model; binary logistic; model ... See more keywords
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A methodological comparison of head-cut based gully erosion susceptibility models: Combined use of statistical and artificial intelligence

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Published in 2020 at "Geomorphology"

DOI: 10.1016/j.geomorph.2020.107136

Abstract: Abstract A GIS-based hybrid approach for gully erosion susceptibility mapping (GESM) in the Biarjamand watershed in Iran is presented. A database comprised of 15 geo-environmental factors (GEFs) was compiled and used to predict the spatial… read more here.

Keywords: susceptibility; binary logistic; methodological comparison; erosion susceptibility ... See more keywords

D-optimal designs for the two-variable binary logistic regression model with interaction

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Published in 2018 at "Journal of Statistical Planning and Inference"

DOI: 10.1016/j.jspi.2017.08.007

Abstract: Abstract The analytical construction of optimal designs for generalized linear models with interaction between the explanatory variables is challenging and the optimal designs reported in the statistical literature for such models are invariably constructed numerically.… read more here.

Keywords: two variable; variable binary; binary logistic; model ... See more keywords

Assessing Personality Traits in Transfemales: A Comparative Analysis with Gender-Affirming Males and Females Using a Binary Logistic Regression Model

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Published in 2025 at "European Psychiatry"

DOI: 10.1192/j.eurpsy.2025.2415

Abstract: Introduction Transgender healthcare has increasingly gained importance, particularly in understanding how individuals align with their affirmed gender in various physiological and sociological aspects. Transfemales, individuals assigned male at birth who transition to female, represent a… read more here.

Keywords: affirming males; gender; gender affirming; regression ... See more keywords

Evaluation of debris flow susceptibility in El Salvador (CA): a comparison between Multivariate Adaptive Regression Splines (MARS) and Binary Logistic Regression (BLR)

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Published in 2018 at "Hungarian Geographical Bulletin"

DOI: 10.15201/hungeobull.67.4.5

Abstract: In the studies of landslide susceptibility assessment, which have been developed in recent years, statistical methods have increasingly been applied. Among all, the BLR (Binary Logistic Regression) certainly finds a more extensive application while MARS… read more here.

Keywords: logistic regression; regression; adaptive regression; binary logistic ... See more keywords

The Application of Binary Logistic Regression in Modeling the Post-COVID-19 Effects on Food Security: In Search of Policy Recommendations in Promoting Sustainable Livelihoods for Food-Insecure Households

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Published in 2025 at "Sustainability"

DOI: 10.3390/su17146375

Abstract: COVID-19 has caused global problems with complex ramifications. Vulnerable households worry about disruptions to food security. Mobility restrictions, decreased salaries, and supply chain disruptions have increased food insecurity. This study examined the best food security… read more here.

Keywords: food; income; logistic regression; food security ... See more keywords