Showing 1,061 - 1,080 results of 1,292 for search '"Bayesian"', query time: 0.05s Refine Results
  1. 1061

    Efficacy and safety of anticoagulants on venous thromboembolism: a systematic review and network meta-analysis of randomized controlled trials by Weijie Fu, Maolin Zhao, Sheng Ding, Mei Xin, Ke Yang, Li Jiang, Fan Wu, Xiaochen Wu, Jian Wang, Jie Chen, Feng Gao, Siyi He

    Published 2025-01-01
    “…Network meta-analyses were performed based on Bayesian generalized linear models, and a frequentist framework with multivariate random effects was used to fit the model.ResultsIn terms of treatment, 58 trials with 119,417 patients proved eligible, while 125 trials with 225,414 patients were included in terms of prevention. …”
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  2. 1062

    Grazing by non‐native ungulates negatively impacts vegetation important to a native species of concern by Phillip A. Street, Levi Jaster, Thomas E. Dilts, Tessa L. Behnke, James S. Sedinger

    Published 2025-01-01
    “…In addition, we surveyed the herbaceous understory of random sites as well as sites chosen by female Greater sage‐grouse to nest and brood their chicks. We used a novel Bayesian hierarchical modeling framework to link vegetation metrics with the spatial–temporal distribution of horses and livestock while accounting for observation error. …”
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  3. 1063

    Phylogenetic Analysis of Dengue Virus in Bangkalan, Madura Island, East Java Province, Indonesia by Teguh Hari Sucipto, Tomohiro Kotaki, Kris Cahyo Mulyatno, Siti Churrotin, Amaliah Labiqah, Soegeng Soegijanto, Masanori Kameoka

    Published 2018-01-01
    “…Serotyping was conducted using a multiplex Reverse Transcriptase-Polymerase Chain Reaction and a phylogenetic analysis of E gene sequences was performed using the Bayesian Markov chain Monte Carlo (MCMC) method. 17 out of 359 blood samples (4.7%) were positive for the isolation of DENV. …”
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  4. 1064

    Spatiotemporal variability in the South American mammalian fossil record and its impact on macroevolutionary inference by Pedro D. de S. Ugarte, João C. S. Nascimento, Mathias M. Pires

    Published 2025-01-01
    “…Here, we investigated the spatiotemporal distribution of fossil occurrences from eleven South American mammalian clades and used a Bayesian approach that accounts for the incompleteness of the fossil record to analyze how estimates of times of origination and extinction, and origination and extinction rates are affected by the quality of the fossil record. …”
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  5. 1065

    Effectiveness of joint species distribution models in the presence of imperfect detection by Stephanie Elizabeth Hogg, Yan Wang, Lewi Stone

    Published 2021-08-01
    “…A multivariate probit JSDM that explicitly accounts for imperfect detection is proposed, and implemented using a Bayesian hierarchical approach. We investigate the performance of the JSDM in the presence of imperfect detection for a range of factors, including varied levels of detection and species occupancy, and varied numbers of survey sites and replications. …”
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  6. 1066

    Transmission of HIV and HCV within Former Soviet Union Countries by Lazzat Aibekova, Aizada Bexeitova, Arailym Aldabergenova, Gonzalo Hortelano, Zhangwen Ge, Feng Yi, Yiming Shao, Jack DeHovitz, Sten H. Vermund, Syed Ali

    Published 2020-01-01
    “…To examine transmission networks and the origins of infection, respectively, phylogenetic and Bayesian analyses were performed. Results. Our analysis shows intermixing of HCV and HIV sequences, suggesting transmission of these viruses both within and across FSU countries. …”
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  7. 1067

    First two mitochondrial genomes for the order Filobasidiales reveal novel gene rearrangements and intron dynamics of Tremellomycetes by Qiang Li, Zhijie Bao, Ke Tang, Huiyu Feng, Wenying Tu, Lijiao Li, Yunlei Han, Mei Cao, Changsong Zhao

    Published 2022-05-01
    “…Phylogenetic analyses based on Bayesian inference and the maximum likelihood methods using a combined mitochondrial gene set generated identical and well-supported phylogenetic trees, wherein Filobasidium species had close relationships with Trichosporonales species. …”
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  8. 1068

    Exposure to specific polyfluoroalkyl chemicals is associated with cardiovascular disease in US adults: a population-based study by Wenwen Xiao, Guojin Jian, Fei Ma, Hong Li, Xiaohong Yang, Hengyang Zhang, Yongping Cao

    Published 2025-01-01
    “…Subgroup analyses were conducted to explore interaction effects. Bayesian kernel machine regression (BKMR) and weighted quantile sum (WQS) models were used to evaluate the joint effect of PFC exposures on CVD.ResultsIn logistic regression, PFDE, MPAH, and PFUA were positively associated with CVD. …”
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  9. 1069

    Trends, seasonal variations and forecasting of chronic respiratory disease morbidity in charcoal producing areas, northwest Ethiopia: time series analysis by Mulugeta Tesfa, Achenef Motbainor, Muluken Azage Yenesew

    Published 2025-01-01
    “…The model's fitness was checked based on Bayesian information criteria. The stationarity of the data was assessed with a line chart and statistically with the Ljung-Box Q-test. …”
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  10. 1070

    Genetic structure of the collection of ryegrass (<i>Lolium</i>) cultivars: a study based on SSR and SCoT markers by Yu. M. Mavlyutov, E. A. Vertikova, A. O. Shamustakimova, I. A. Klimenko

    Published 2023-10-01
    “…Genetic relationships among the studied cultivars were analyzed on the basis of the Neighbor-Joining dendrogram and Bayesian model.Results. To assess the genetic polymorphism of ryegrass species and varieties, 7 SSR loci were selected, for which 110 allelic variants were identified (34 alleles were unique for individual cultivars), and 9 SCoT loci, for which 78 polymorphic amplification fragments were identified, with 28 being cultivar-specific. …”
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  11. 1071

    Human Trust in Robots: A Survey on Trust Models and Their Controls/Robotics Applications by Yue Wang, Fangjian Li, Huanfei Zheng, Longsheng Jiang, Maziar Fooladi Mahani, Zhanrui Liao

    Published 2024-01-01
    “…These include performance-centric algebraic, time-series, Markov decision process (MDP)/Partially Observable MDP (POMDP)-based, Gaussian-based, and dynamic Bayesian network (DBN)-based trust models. Following the summary of each computational human-robot trust model, we examine its utilization in robot control applications, if any. …”
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  12. 1072

    Associations between heavy metal exposure and vascular age: a large cross-sectional study by Yuntao Feng, Chengxing Liu, Litang Huang, Jun Qian, Na Li, Hongwei Tan, Xuebo Liu

    Published 2025-01-01
    “…Additionally, sex-stratified analyses, Weighted Quantile Sum (WQS) regression and Bayesian Kernel Machine Regression were conducted to explore the effects of individual and mixed metal exposures. …”
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  13. 1073

    Exposure to Volatile Organic Compounds in Relation to Visceral Adiposity Index and Lipid Accumulation Product Among U.S. Adults: NHANES 2011–2018 by Ziyi Qian, Chenxu Dai, Siyan Chen, Linjie Yang, Xia Huo

    Published 2025-01-01
    “…Weighted generalized linear models, restricted cubic spline (RCS), weighted quantile sum (WQS), and Bayesian kernel machine regression (BKMR) were adopted to assess the association of VOC metabolites (mVOCs) with the visceral adiposity index (VAI) and lipid accumulation product (LAP). …”
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  14. 1074

    SMOTE vs. SMOTEENN: A Study on the Performance of Resampling Algorithms for Addressing Class Imbalance in Regression Models by Gazi Husain, Daniel Nasef, Rejath Jose, Jonathan Mayer, Molly Bekbolatova, Timothy Devine, Milan Toma

    Published 2025-01-01
    “…Using a controlled sampling strategy across various instance levels, the performance of both methods in conjunction with decision tree regression, gradient boosting regression, and Bayesian regression models was evaluated. The results indicate that SMOTEENN consistently outperforms SMOTE in terms of accuracy and mean squared error across all sample sizes and models. …”
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  15. 1075

    Estimation of Dendrocalamus giganteus leaf area index by combining multi-source remote sensing data and machine learning optimization model by Zhen Qin, Huanfen Yang, Qingtai Shu, Jinge Yu, Zhengdao Yang, Xu Ma, Dandan Duan

    Published 2025-01-01
    “…Thus, a new method for large-scale estimation of Dendrocalamus giganteus LAI was proposed, which integrates ICESat-2/ATLAS, and Sentinel-1/-2 data, and refines machine learning models through the application of Bayesian Optimization (BO), Particle Swarm Optimization (PSO), Genetic Algorithms (GA), and Simulated Annealing (SA). …”
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  16. 1076

    Molecular phylogeny and morphology reveal four new wood-inhabiting fungi of Asterostroma and Radulomyces (Basidiomycota) from Southwestern China by Junhong Dong, Qiaohua Deng, Minglan Chen, Daxiang Chen, Chunqin Zhou, Changlin Zhao

    Published 2025-01-01
    “…Sequences of the internal transcribed spacer (ITS) and large subunit (nrLSU) markers of the studied samples were generated, and phylogenetic analyses were performed with maximum likelihood, maximum parsimony, and Bayesian inference methods. Phylogenetic analyses of ITS+nrLSU nuclear RNA gene regions showed that four new species were assigned to the genera Asterostroma and Radulomyces. …”
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  17. 1077

    Impact of vancomycin area under the curve in early or later phase on efficacy and nephrotoxicity in patients with enterococcal bloodstream infections: a multicenter study by Piyawadee Tangvichitrerk, Dhitiwat Changpradub, Jatapat Hemapanpairoa, Piraporn Juntanawiwat, Wichai Santimaleeworagun

    Published 2025-01-01
    “…The estimates of the mean 24-h area under the curve in the first 72 h (AUC24) and in steady state (AUCss) were determined by Bayesian theorem. Results Overall, 201 vancomycin concentrations were measured within the first 72 h after vancomycin treatment, while 156 were in a steady state (> 72 h). …”
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  18. 1078

    Analysis and prediction of subarachnoid hemorrhage burden in global, China, and Japan by Peng-Fei Ding, Chen-Jie Xing, Yong-Yue Gao, Chun-Hua Hang, Zong Zhuang, Wei Li

    Published 2025-01-01
    “…Methods Data on the disease burden owing to SAH from 1990 to 2019 were obtained from the Global Burden of Disease (GBD) Study 2019. linear regression analysis was used to calculate the estimated annual percentage change (EAPC) and linear regression method was used to calculate the average annual percentage change (AAPC). Bayesian age-period-cohort (BAPC) model was used to predict the disease burden from 2020 to 2030. …”
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  19. 1079

    Impact of rare non-coding variants on human diseases through alternative polyadenylation outliers by Xudong Zou, Zhaozhao Zhao, Yu Chen, Kewei Xiong, Zeyang Wang, Shuxin Chen, Hui Chen, Gong-Hong Wei, Shuhua Xu, Wei Li, Ting Ni, Lei Li

    Published 2025-01-01
    “…Furthermore, we developed a Bayesian-based APA RV prediction model, which successfully pinpointed a specific set of 1799 RVs impacting 278 genes with significantly large disease effect sizes. …”
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  20. 1080

    Global, regional, and national burden of pancreatic cancer from 1990 to 2021, its attributable risk factors, and projections to 2050: a systematic analysis of the global burden of... by Tianyu Li, Chen Lin, Weibin Wang

    Published 2025-02-01
    “…We also calculated the proportion of DALYs and mortality attributable to risk factors. The Bayesian age-period-cohort model was applied to project future trends until 2050. …”
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