Network characteristics of comorbid symptoms in alcohol use disorder by Xin Yu, Wen Zhang, Can Wang, Guolin Mi, Xiuzhe Chen, Yanhu Wang, Xu Chen

“…The bnlearn package in R was used to construct directed acyclic graph (DAG) for individuals with AUD using the Bayesian hill-climbing algorithm.Results In the partial correlation network, among the three major comorbidity categories, ‘anxiety/depression’ was most strongly associated with ‘sleep quality’. …”
Get full text

Genetic parameters for milk production traits of Simmental cows with random regression test-day model by A. Otwinowska-Mindur, E. Ptak, W. Jagusiak, A. Zarnecki

“…The BLUPf90 package and a Bayesian method via Gibbs sampling were used to estimate (co)variance components. …”
Get full text

Analysis of genetic relationships of genotypes of the genus Rosa L. from the collection of Nikita Botanical Gardens using ISSR and IRAP DNA markers by I. I. Suprun, S. A. Plugatar, I. V. Stepanov, T. S. Naumenko

“…The genetic relationships of the studied species and varieties of roses analyzed by the UPGMA, PCoA, and Bayesian methods performed on the basis of IRAP and ISSR genotyping are consistent with their taxonomic positions. …”
Get full text

Safedrive dreamer: Navigating safety–critical scenarios in autonomous driving with world models by Haitao Li, Tao Peng, Bangan Wang, Ronghui Zhang, Bolin Gao, Ningguo Qiao, Zhiwei Guan, Jiayin Li, Tianyu shi

“…Furthermore, to reduce trial-and-error costs in real-world applications, this study employs PAC-Bayesian methods to derive generalization error bounds between simulations and reality, enabling a more effective transfer of knowledge and experience from simulations to real-world scenarios. …”
Get full text

Global, regional, and national burden of early-onset colorectal cancer from 1990 to 2021: a systematic analysis based on the global burden of disease study 2021 by Yang Meng, Zongbiao Tan, Junhai Zhen, Di Xiao, Liwei Cai, Weiguo Dong, Changzheng Chen

“…In addition, we constructed a Bayesian age-period-cohort model to predict the burden of EOCRC worldwide from 2022 to 2030. …”
Get full text

Disrupting effects of neonicotinoids and their interaction with metals on thyroid hormone, an evidence of children in a rural area, South China by Ling-Chuan Guo, Pan Zhu, Chunyan Gui, Jing Deng, Yanhong Gao, Chaoyang Long, Han Zhang, Zhanlu Lv, Shengbing Yu

“…Based on linear regression, generalized additive model, and Bayesian kernel machine regression, neonicotinoids levels were found to be correlated with TH, TBG, and TSH levels, with stronger effects for metabolites than parent compounds in most cases. …”
Get full text

The Efficacy of Parenteral Nutrition and Enteral Nutrition Supports in Traumatic Brain Injury: A Systemic Review and Network Meta-Analysis by Yan Qin, Maoxia Liu, Fengbao Guo, Du Chen, Peng Yang, Xionghui Chen, Feng Xu

“…However, it is not clear which nutritional support is appropriate to reduce mortality, improve prognosis, and improve nutritional status in patients with TBI. We performed this Bayesian network meta-analysis to evaluate the improvement of nutritional indicators and the clinical outcomes of patients with TBI. …”
Get full text

Refining δ15N isotopic fingerprints of local NOx for accurate source identification of nitrate in PM2.5 by Hao Xiao, Qinkai Li, Shiyuan Ding, Wenjing Dai, Gaoyang Cui, Xiaodong Li

“…The results indicate that the isotopic fingerprints of the six types of NOx sources in Tianjin are indicative of the regional characteristics of China, particularly the North China Plain. The Bayesian isotope mixing (MixSIAR) model demonstrated that coal combustion, biomass burning, and vehicle exhaust collectively contributed more than 60 %, dominating the sources of NO3– during sampling periods in Tianjin. …”
Get full text

The first two mitochondrial genomes from Apiotrichum reveal mitochondrial evolution and different taxonomic assignment of Trichosporonales by Qiang Li, Wenqi Xiao, Peng Wu, Ting Zhang, Peng Xiang, Qian Wu, Liang Zou, Mingying Gui

“…Phylogenetic analyses based on maximum likelihood and Bayesian inference methods using a combined mitochondrial gene dataset revealed different taxonomic assignment of two Apiotrichum species, wherein A. gamsii had a more closely relationship with Trichosporon asahii. …”
Get full text

Low back pain trends attributable to high body mass index over the period 1990–2021 and projections up to 2036 by Jiling Zhang, Baodong Wang, Congying Zou, Tianyi Wang, Lihui Yang, Yu Zhou

“…The estimated annual percentage change (EAPC) was calculated to evaluate the trends from 1990 to 2021. A Bayesian age-period cohort (BAPC) model was used to assess the corresponding trends from 2022 to 2036. …”
Get full text

1990–2041 Global burden of Burkitt lymphoma with 20 years forecast: A systematic analysis using the global burden disease of study of 2021 by Chengyun Dou, Yidan Sang, Hongbo Zhu, Chuangjie Cao

“…Furthermore, the estimated annual percentage changes of incidence with Burkitt lymphoma were positively correlated with sociodemographic index (Pearson r  = 0.606; p  = 0.003). The Bayesian age-period-cohort model predicts a significant increase in the age-standardized incidence rates of Burkitt lymphoma over the next 20 years. …”
Get full text

Cohort profile: the East London Health and Care Partnership Data Repository: using novel integrated data to support commissioning and research by George Howard, Kamaldeep Bhui, Amy Ronaldson, Evangelos Chandakas, Qiongwen Kang, Katie Brennan, Aminat Akande, Irene Ebyarimpa, Eleanor Wyllie, Richard Fradgley, Mark Freestone

“…Data completeness for risk factors (eg, blood pressure, cholesterol) was high in patients with long-term conditions.Future plans The data are being further cleaned and evaluated using imputation, Bayesian and economic methods, principally focusing on specific cohorts, including type II diabetes, depression and personality disorder. …”
Get full text

Prenatal exposure to polycyclic aromatic hydrocarbons and blood pressure in the early life of children by Xiaodong Chen, Lingling Dong, Lina Yang, Yan Yang, Liyu Yang, Sijia Han

“…Additionally, we applied quantile g-computation (g-comp) and Bayesian kernel machine regression (BKMR) to assess the combined and interaction effects of multiple PAH metabolites. …”
Get full text

Global, regional, and national trends in colorectal cancer burden from 1990 to 2021 and projections to 2040 by Tao Zhang, Yuchen Guo, Binxu Qiu, Xianyu Dai, Yifei Wang, Xueyuan Cao

“…Decomposition and frontier analyses were conducted, and finally, the Bayesian age-period-cohort (BAPC) model was used to predict changes in ASRs up to 2040.ResultsThe GBD 2021 estimates indicate a significant increase in the global incident cases, deaths, and DALYs of CRC from 1990 to 2021. …”
Get full text

Association of antihypertensive drug target genes with alzheimer’s disease: a mendelian randomization study by He Zheng, Chaolei Chen, Yingqing Feng

“…The reverse causality detection, assessing horizontal pleiotropy, Bayesian co-localization, phenotype scanning, and protein quantitative trait loci (pQTL) analysis were implemented to consolidate the MR findings further. …”
Get full text

Intestinal microbiota shifts by dietary intervention during extreme heat summer episodes in farmed gilthead sea bream (Sparus aurata) by R. Domingo-Bretón, S. Cools, F. Moroni, A. Belenguer, J.A. Calduch-Giner, E. Croes, P.G. Holhorea, F. Naya-Català, H. Boon, J. Pérez-Sánchez

“…This microbiota shift was not driven by environmental colonization as this bacteria genus remained residual in water samples with the increase of temperature. Bayesian network and functional enrichment analyses suggested that the high abundance of Brevinema exploits and negatively enhances a condition of imbalance in intestinal homeostasis, which was almost completely reversed by the use of dietary emulsifiers in combination with low energized diets. …”
Get full text

Triggering thresholds and influential factors in the propagation of meteorological drought to hydrological drought by Na Zhen, Rui Yao, Peng Sun, Qiang Zhang, Chenhao Ge, Han Shen

“…Using Copula functions and Bayesian networks, it jointly analyzes the evolutionary characteristics of MDs and HDs in different sub-basins of the HRB, quantitatively investigates the thresholds for the propagation of MD to HD, and identifies potential influencing factors on these thresholds. …”
Get full text

Provider Adherence to the 2020 US Multi-Society Task Force Guidelines for Surveillance After Colonoscopy With Polypectomy by Benjamin E. Cassell, Katherine Scholand, Wyatt Tarter, Camille J. Hochheimer, Colleen Long, Gregory L. Austin

“…To determine predictors of nonadherence, a multivariable logistic regression analysis was conducted and included patient and procedure-related variables. Bayesian changepoint analysis was applied to identify timing of change in adherence. …”
Get full text

Pharmacological and non-pharmacological interventions in patients undergoing nasal surgeries for prevention of emergence agitation: a systematic review and network meta-analysis by Gustavo R.M. Wegner, Bruno F.M. Wegner, Henrik G. Oliveira, Luis A. Costa, Luigi W. Spagnol, Valentine W. Spagnol, Gilberto T.F. de Oliveira Filho

“…Two independent reviewers selected studies, and data extraction was performed using standardized tables. Bayesian NMA, MetaInsight web app, and Cochrane Foundation Risk of Bias Assessment Tool were applied for data analysis and bias assessment. …”
Get full text

Examining the complementarity in belowground water use between different varieties and ages of Arabica coffee plants and dominant shade tree species in an organic agroecosystem by Lyssette Elena Muñoz-Villers, Friso Holwerda, M. Susana Alvarado-Barrientos, Josie Geris, Todd E. Dawson

“…We used the MixSIAR Bayesian stable isotope mixing model to determine proportional use of belowground water sources for three Arabica coffee varieties/ages and five dominant shade tree species. …”
Get full text