Chemical effects on ecological interactions within a model-experiment loop by Lamonica, Dominique, Charles, Sandrine, Clément, Bernard, Lopes, Christelle

“…We estimated model parameters by Bayesian inference, using simultaneously all the data issued from multiple laboratory experiments specifically conducted for this study. …”
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Characterization of microbiota signatures in Iberian pig strains using machine learning algorithms by Lamiae Azouggagh, Noelia Ibáñez-Escriche, Marina Martínez-Álvaro, Luis Varona, Joaquim Casellas, Sara Negro, Cristina Casto-Rebollo

“…All of which exhibited a relevant differential abundance between purebred animals using a Bayesian linear model. Conclusions The study confirms variations in gut microbiota among Iberian pig strains and their crosses, influenced by genetic and non-genetic factors. …”
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Mapping Drug-Resistant Tuberculosis Treatment Outcomes in Hunan Province, China by Temesgen Yihunie Akalu, Archie C. A. Clements, Zuhui Xu, Liqiong Bai, Kefyalew Addis Alene

“…The spatial clustering of poor treatment outcomes was analyzed using the local Moran’s I and Getis–Ord statistics. A Bayesian logistic regression model was fitted, with the posterior parameters estimated using integrated nested Laplace approximation (INLA). …”
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Life in green: Associations between greenspace availability and mental health over the lifecourse – A 40-year prospective birth cohort study by B. Deng, J. Boden, N. Ye, J. Morgenroth, M. Campbell, P. Eggleton, G. McLeod, M. Hobbs

“…Greenspace availability from birth to age 40 years was measured as the proportion of vegetated areas within circular buffers (radius from 100m to 3000m) around members’ geocoded residential addresses using a time-series impervious surfaces data from 1985 to 2015. Bayesian Relevant Lifecourse exposure models examined the associations between childhood greenspace availability and adolescent mental health and tested for critical/sensitive age periods. …”
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What motivates West African cocoa farmers to value trees? Taking the 4 W approach to the heart of the field by Marie Ruth Dago, Irié Casimir Zo‐Bi, Isaac Kouamé Konan, Aimé Kouadio Kouassi, Stéphane Guei, Patrick Jagoret, Anny Estelle N'Guessan, Elsa Sanial, Chloé Tankam, Soulemane Traoré, Bruno Hérault

“…Drawing from a sample of 150 farmers responsible for the management of 12,096 trees, we quantified the motivations of farmers for 10 material and immaterial uses of trees and used a Bayesian modelling framework to explore the relative importance of the 4 W framework in explaining general motivations, specific to each use, as well as the varying levels of specialization in tree management strategies among farmers. …”
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LoSI: Large Scale Location Inference Through FM Signal Integration and Estimation by Tathagata Mukherjee, Piyush Kumar, Debdeep Pati, Erik Blasch, Eduardo Pasiliao, Liqin Xu

“…We report results on 1500 points across Florida using data and model estimates from 2015 and 2017. We also provide a Bayesian decision theoretic justification for the nearest neighbor search.…”
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NONAN GaitPrint: An IMU gait database of healthy older adults by Tyler M. Wiles, Seung Kyeom Kim, Madhur Mangalam, Joel H. Sommerfeld, Kolby J. Brink, Alli Grunkemeyer, Marilena Kalaitzi Manifrenti, Anaelle E. Charles, Narges Shakerian, Mehrnoush Haghighatnejad, Spyridon Mastorakis, Nick Stergiou, Aaron D. Likens

“…In addition, a preliminary Bayesian analysis found a range of evidence supporting age-related gait changes between this database and our database on young adults.…”
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Sequence-based GWAS in 180,000 German Holstein cattle reveals new candidate variants for milk production traits by Ana-Marija Križanac, Christian Reimer, Johannes Heise, Zengting Liu, Jennie E. Pryce, Jörn Bennewitz, Georg Thaller, Clemens Falker-Gieske, Jens Tetens

“…Genome-wide significant signals were fine-mapped with the Bayesian approach that determines the credible variant sets and generates the probability of causality for each signal. …”
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Acupuncture combined with multiple therapies for angina pectoris: a systematic review and network meta-analysis by Xiangyu Kong, You Gu, Zhao Qiu

“…The Cochrane Risk of Bias tool 2.0 (RoB 2.0) was used for risk of bias assessment. A random-effects Bayesian NMA was performed using R (version 4.3.1) and Stata (version 16.0).Results46 RCTs were enrolled, with 3976 patients with angina pectoris. …”
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Combined exposure to mixed brominated flame retardants on obstructive sleep apnea syndrome in US adults by Junping Liu, Zhaoyue Liu, Xinru Liu, Nan Wang, Lin Wu, Xiaoxue Xu, Wei Liu, Yajie Feng, Huanyu Zhang, Yue Zhou, Xinle Yin, Yaping Liu, Qunhong Wu, Ning Ning, Libo Liang

“…To investigate the OSAS risk with BFRs exposure, multivariate logistic regression, weighted quantile sum (WQS) regression, quantile g-computation (QGC), Bayesian kernel machine regression (BKMR) models, and restricted cubic splines (RCS) were implemented. …”
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Association between mixed exposure of non-persistent pesticides and liver fibrosis in the general US population: NHANES 2013–2016 by Shuge Shu, Yuan Li, Xiangyu Yu, Xinting Chen, Ummara Abdullah, Yongquan Yu

“…Survey-weighted linear/logistic regression and Bayesian kernel machine regression (BKMR) were used to detected the independent and combined associations between non-persistent pesticides and liver fibrosis, respectively. …”
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Insights into Treponema pallidum genomics from modern and ancient genomes using a novel mapping strategy by Marta Pla-Díaz, Gülfirde Akgül, Martyna Molak, Louis du Plessis, Hanna Panagiotopoulou, Karolina Doan, Wiesław Bogdanowicz, Paweł Dąbrowski, Maciej Oziembłowski, Barbara Kwiatkowska, Jacek Szczurowski, Joanna Grzelak, Natasha Arora, Kerttu Majander, Fernando González-Candelas, Verena J. Schuenemann

“…The high-coverage W86 genome introduced in this study also provided a new calibration point for Bayesian molecular clock dating, improving the reconstruction of the evolutionary history of treponemal diseases. …”
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The burden of Gastric Cancer and possible risk factors from 1990 to 2021, and projections until 2035: findings from the Global Burden of Disease Study 2021 by Niping Qin, Yangyan Fan, Tao Yang, Zhiping Yang, Daiming Fan

“…Methods The data were derived from the Global Burden of Disease (GBD) Study 2021, covering gastric cancer (GC) incidence, mortality, disability-adjusted life years (DALYs), age-standardized incidence rates (ASIRs), age-standardized death rates (ASDRs), and age-standardized DALY rates (ASRs) across 204 countries and regions from 1990 to 2021. The Bayesian age-period-cohort model was employed to project trends up to 2035. …”
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Association of exposure to multiple volatile organic compounds with ultrasound-defined hepatic steatosis and fibrosis in the adult US population: NHANES 2017–2020 by Wentao Shao, Wentao Shao, Pan Gong, Qihan Wang, Fan Ding, Weiyi Shen, Hongchao Zhang, Anhua Huang, Chengyu Liu

“…The study examined the relationship between urinary exposure biomarkers for 20 VOCs and liver health outcomes using multivariate logistic regression and Bayesian Kernel Machine Regression (BKMR) to evaluate the effects of both individual and mixed VOC exposures.ResultsMultivariate logistic regression analysis revealed that exposure biomarkers for acrolein and crotonaldehyde were positively associated with hepatic steatosis. …”
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The first two mitochondrial genomes for the genus Ramaria reveal mitochondrial genome evolution of Ramaria and phylogeny of Basidiomycota by Qiang Li, Lijiao Li, Ting Zhang, Peng Xiang, Qian Wu, Wenying Tu, Zhijie Bao, Liang Zou, Cheng Chen

“…Phylogenetic analyses using both Bayesian inference (BI) and Maximum Likelihood (ML) methods based on a combined mitochondrial gene dataset obtained an identical and well-supported phylogenetic tree for Basidiomycota, wherein R. cfr. rubripermanens and Turbinellus floccosus are sister species. …”
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Global, regional, and national burdens of type 1 and type 2 diabetes mellitus in adolescents from 1990 to 2021, with forecasts to 2030: a systematic analysis of the global burden o... by Xing Chen, Luying Zhang, Wen Chen

“…Correlation analyses were used to identify the relationship between age-standardized rate and sociodemographic index (SDI). The Bayesian age-period-cohort (BAPC) model was used to predict changes in the diabetes prevalence among adolescents from 2022 to 2030. …”
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Temporal trends and future projections of incidence rate and mortality for asthma in China: an analysis of the Global Burden of Disease Study 2021 by Xi Chen, Xi Chen, Dandan Ma, Hangyu Li, Yilin Liu, Guixing Xu, Xinyu Deng, Qi Li, Junqi Li, Hui Pan

“…Finally, future asthma trends for the next 25 years were predicted utilizing the Bayesian age-period-cohort (BAPC) model.ResultsOver the past three decades, the incidence rate declined in waves while the mortality declined steadily. …”
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Development of a machine learning model related to explore the association between heavy metal exposure and alveolar bone loss among US adults utilizing SHAP: a study based on NHAN... by Jiayi Chen

“…Some studies revealed a positive trend found between urinary heavy metals and periodontitis using multiple logistic regression and Bayesian kernel machine regression. Overfitting using kernel function, long calculation period, the definition of prior distribution and lack of rank of heavy metal will affect the performance of the statistical model. …”
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Machine learning validation of the AVAS classification compared to ultrasound mapping in a multicentre study by Katerina Lawrie, Petr Waldauf, Peter Balaz, Radoslav Bortel, Ricardo Lacerda, Emma Aitken, Krzysztof Letachowicz, Mario D’Oria, Vittorio Di Maso, Pavel Stasko, Antonio Gomes, Joana Fontainhas, Matej Pekar, Alena Srdelic, VAVASC Study Group, Stephen O’Neill

“…Model performance was estimated and compared using Bayesian generalized linear models. ROC AUC with 95% credible intervals was the performance metric. 1151 patients were included. …”
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Comprehensive agrobiological assessment and analysis of genetic relationships of promising walnut varieties of the Nikitsky Botanical Gardens by Yu. V. Plugatar, I. I. Suprun, S. Yu. Khokhlov, I. V. Stepanov, E. A. Al-Nakib

“…Analysis of SSR genotyping data using Bayesian analysis established the presence of two main groups of genotypes. …”
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