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Quantitative risk assessment of avian influenza: A scoping review [PDF]

Infectious Disease Modelling
Avian 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, Kelsey Spence, Marzieh Soltani, Lauren Grant, Yan Yan, Shayan Sharif, Rozita Dara   +6 more
doaj   +2 more sources

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, Ignasi Morán, Cecilia Salvoro, David Torrents   +3 more
doaj   +1 more source

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, Balasubramanian Narasimhan, Trevor Hastie   +2 more
doaj   +1 more source

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, Hozan Taha Abdalla, Zhyan Mohammed Omer   +2 more
doaj   +1 more source

Inference in skew generalized t-link models for clustered binary outcome via a parameter-expanded EM algorithm.

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, Aliou Diop, Romain Glèlè Kakaï   +2 more
doaj   +1 more source

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
doaj   +2 more sources

The relative and interactive effects of urinary multiple metals exposure on hyperuricemia among urban elderly in China

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, Erwei Gao, Feng Xiao, Qiongzhen Wu, Wei Liu, Yi Luo, Xiaohu Ren, Xiao Chen, Kaiwu He, Haiyan Huang, Qian Sun, Desheng Wu, Jianjun Liu   +12 more
doaj   +1 more source

Forecasting Prorocentrum minimum blooms in the Chesapeake Bay using empirical habitat models

Frontiers in Marine Science, 2023
Aquaculturists, local beach managers, and other stakeholders require forecasts of harmful biotic events, so they can assess and respond to health threats when harmful algal blooms (HABs) are present.
Dante M. L. Horemans, Marjorie A. M. Friedrichs, Pierre St-Laurent, Raleigh R. Hood, Christopher W. Brown   +4 more
doaj   +1 more source

Impact of communities, health, and emotional-related factors on smoking use: comparison of joint modeling of mean and dispersion and Bayes’ hierarchical models on add health survey

BMC Medical Research Methodology, 2017
Background The analysis of correlated binary data is commonly addressed through the use of conditional models with random effects included in the systematic component as opposed to generalized estimating equations (GEE) models that addressed the random ...
Jie Pu, Di Fang, Jeffrey R. Wilson
doaj   +1 more source

Analysis of neonatal clinical trials with twin births

BMC Medical Research Methodology, 2009
Background In neonatal trials of pre-term or low-birth-weight infants, twins may represent 10–20% of the study sample. Mixed-effects models and generalized estimating equations are common approaches for handling correlated continuous or binary data ...
Shaffer Michele L, Kunselman Allen R, Watterberg Kristi L   +2 more
doaj   +1 more source