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Robust inference for generalized linear models with application to logistic regression [PDF]
Statistics & Probability Letters, 2001 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
ADIMARI, GIANFRANCO, VENTURA, LAURA
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Quantitative risk assessment of avian influenza: A scoping review [PDF]
Infectious Disease ModellingAvian influenza virus (AIV) continues to pose serious risks to animal and public health. Understanding its spread requires integrating ecological, agricultural, and human information.
Mina Khoshbazm +6 more
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In Search of Complex Disease Risk through Genome Wide Association Studies
Mathematics, 2021 The identification and characterisation of genomic changes (variants) that can lead to human diseases is one of the central aims of biomedical research.
Lorena Alonso +3 more
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Elastic Net Regularization Paths for All Generalized Linear Models
Journal of Statistical Software, 2023 The lasso and elastic net are popular regularized regression models for supervised learning. Friedman, Hastie, and Tibshirani (2010) introduced a computationally efficient algorithm for computing the elastic net regularization path for ordinary least ...
J. Kenneth Tay +2 more
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PLoS ONE, 2021 Binary Generalized Linear Mixed Model (GLMM) is the most common method used by researchers to analyze clustered binary data in biological and social sciences.
Chénangnon Frédéric Tovissodé +2 more
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Normal-Power-Logistic Distribution: Properties and Application in Generalized Linear Model
Journal of the Indian Society for Probability and Statistics, 2022 The applications of Normal distribution in literature are verse, the new modified univariate normal power distribution is a new distribution which is adequate for modelling bimodal data. There are many data that would have been modelled by normal distribution, but because of their bimodality, they are not, since normal distribution is unimodal. In this
Matthew I. Ekum +2 more
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Using Multinomial Logistic Regression model to study factors that affect chest pain
Tikrit Journal of Administrative and Economic Sciences, 2021 In this work Logistic Regression model was utilized which is one of the significant techniques for categorical data analysis, the purpose of this study to distinguish a use of Multinomial Logistic Regression method when model arrangements one (
Samira Muhamad Salh +2 more
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Comparison of Logistic Regression and Generalized Linear Model for Identifying Accurate At – Risk Students [PDF]
Alinteri Journal of Agriculture Sciences, 2021 Aim: To predict the accuracy percentage of At - risk students based on High withdrawal and Failure rate. Materials and methods: Logistic Regression with sample size = 20 and Generalised Linear Model (GLM) with sample size = 20 was iterated different times for predicting accuracy percentage of At - risk students.
K. Harini, K. Sashi Rekha
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Generalized linear mixed models can detect unimodal species-environment relationships [PDF]
PeerJ, 2013 Niche theory predicts that species occurrence and abundance show non-linear, unimodal relationships with respect to environmental gradients. Unimodal models, such as the Gaussian (logistic) model, are however more difficult to fit to data than linear ...
Tahira Jamil, Cajo J.F. ter Braak
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Frontiers in Public Health, 2023 ObjectiveIndependent and interactive effects of multiple metals levels in urine on the risk of hyperuricemia (HUA) in the elderly were investigated.MethodsA total of 6,508 individuals from the baseline population of the Shenzhen aging-related disorder ...
Chao Huang +12 more
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