Comparative efficacy of eight traditional Chinese medicines combined with statins in the treatment of hyperlipidemia: a Bayesian network meta-analysis by Ling Jiang, Wen Fan, Fangyu Zhou, Lihan Liu, Maoxing Pan, Maoxing Pan, Qinhe Yang, Qinhe Yang, Yupei Zhang, Yupei Zhang

“…Evidence synthesis was performed utilizing both direct and Bayesian network meta-analyses (NMA). Meta-regression analysis, subgroup analysis, publication bias analysis, and sensitivity analysis were employed to evaluate heterogeneity sources and efficacy robustness. …”
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A systematic review and Bayesian network meta-analysis for comparative safety assessment of favipiravir interventions in hospitalized COVID-19 patients by Kai Yang, Jun Zeng, Wenjing Dai, Meifeng Chen, Fan Yang

“…The novel virus induces severe acute respiratory syndrome (SARS-CoV-2) and has spread globally, resulting in an ongoing pandemic. There is still a lack of evidence for direct comparison of favipiravir therapy. …”
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Comparison of the effects of different teaching methods on the effectiveness of teaching neurology in China: a bayesian network meta-analysis and systematic review by Xiangyu Li, Longsheng Zhang, Wenjun Sun, Min Lei, Ying Li, Jiacheng Zhang, Xing Huang

“…This study aims to compare the effectiveness of various teaching methods in the standardized training of Chinese neurology clinicians to inform an optimal teaching model utilizing a Bayesian network meta-analysis (NMA) approach. Methods A comprehensive computer search was conducted to identify randomized controlled trials (RCTs) assessing the efficacy of 7 teaching methods: problem-based learning (PBL), case-based learning (CBL), flipped classroom model (FCM), evidence-based medicine (EBM), clinical practice (CP), team-based learning (TBL), and lecture-based learning (LBL). …”
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The efficacy and safety of denosumab, risedronate, alendronate and teriparatide to treat male osteoporosis: a systematic review and bayesian network meta-analysis by Shu Jun Chai, Tao Yu, Guo Rui Wang, Fu Lu Sun, Hao Xue, Zun Zhang, Bo Ran

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Predicting Endpoint Temperature of Molten Steel in VD Furnace Refining Process Using Metallurgical Mechanism and Bayesian Optimization XGBoost by Ji XU, Zicheng XIN, Mo LAN, Wenhui LIN, Bo ZHANG, Qing LIU

“…Unlike other furnaces, the VD furnace lacks a heating function, leading to a significant drop in the temperature of molten steel during the refining process. …”
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Inferring to cooperate: Evolutionary games with Bayesian inferential strategies by Arunava Patra, Supratim Sengupta, Ayan Paul, Sagar Chakraborty

“…Our analysis reveals how learning the opponent’s strategy through Bayesian inference, as opposed to utility maximization, can be beneficial in the long run, in preventing exploitation and eventual invasion by reactive strategies.…”
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Association Between Hypertensive Disorders of Pregnancy and Patent Ductus Arteriosus in Very Preterm Infants: A Bayesian Model-Averaged Meta-Analysis by Moreyba Borges-Luján, Gloria Galán-Henríquez, Rosa I. Rodríguez-Viera, František Bartoš, Gema E. González-Luis, Eduardo Villamor

“…We conducted a systematic review and Bayesian model-averaged (BMA) meta-analysis of observational studies exploring the association between hypertensive disorders of pregnancy (HDP) and the risk of PDA in preterm infants. …”
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Bayesian and Non-Bayesian for Generalized Kavya–Manoharan Exponential Distribution Based on Progressive-Stress ALT Under Generalized Progressive Hybrid Censoring Scheme by Ehab M. Almetwally, Osama M. Khaled, Hisham M. Almongy, Haroon M. Barakat

“…Using gamma prior, maximum likelihood, and Bayesian techniques, estimate model parameters. Squared error and entropy loss functions yield Bayesian estimators using informational priors in simulation and non-informative priors in application. …”
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Lack of strong evidence for cone photoreceptors’ contribution to human melatonin suppression and alerting response to light by Fatemeh Fazlali, Rafael Lazar, Faady Yahya, Christian Epple, Manuel Spitschan, Oliver Stefani, Christian Cajochen

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Differences in the Effectiveness of Different Physical Therapy Modalities in the Treatment of Delayed-Onset Muscle Soreness: A Systematic Review and Bayesian Network Meta-Analysis by Chen J, Hu Q, Hu J, Liu S, Yin L

“…Overall, physical therapy modalities are the most effective within the 48-h window.Keywords: delayed-onset muscle soreness, physical therapy modalities, efficacy, systematic review, bayesian network meta-analysis…”
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A Method to Detect Concealed Damage in Concrete Tunnels Using a Radar Feature Vector and Bayesian Analysis of Ground-Penetrating Radar Data by Junfang Wang, Heng Chen, Jianfu Lin, Xiangxiong Li

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Bayesian Estimation for Zero-Truncated Bivariate Poisson Regression Model by Prapaporn Rerngchaiyaphum, Monthira Duangsaphon

“…This paper presents Bayesian estimate for the zero-truncated bivariate Poisson regression model. …”
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Smartphone technologies and Bayesian networks to assess shorebird habitat selection by Sara L. Zeigler, E. Robert Thieler, Benjamin T. Gutierrez, Nathaniel G. Plant, Megan Hines, James D. Fraser, Daniel H. Catlin, Sarah M. Karpanty

“…However, studies of habitat selection can be time consuming and expensive over broad spatial scales, and a lack of standardized monitoring targets or methods can impede the generalization of site‐based studies. …”
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Application of Bayesian Vector Autoregressive Model in Regional Economic Forecast by Jinghao Ma, Yujie Shang, Hongyan Zhang

“…The Bayesian vector autoregressive (BVAR) model introduces the statistical properties of variables as the prior distribution of the parameters into the traditional vector autoregressive (VAR) model, which can overcome the problem of too little freedom. …”
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Efficacy and safety of abaloparatide, denosumab, teriparatide, oral bisphosphonates, and intravenous bisphosphonates in the treatment of male osteoporosis: a systematic review and... by Liangshi Chen, Bomei Ji, Cong Xia

“…Study DesignA Systematic Review and Bayesian Network Meta-AnalysisObjectiveTo compare the efficacy and safety of abaloparatide (ABA), denosumab (DEN), teriparatide (TER), oral bisphosphonates (OBP), and intravenous bisphosphonates (IBP) in the treatment of male osteoporosis through a network meta-analysis.Summary of Background DataCurrently, a variety of medications are available for the treatment of male osteoporosis, including abaloparatide, denosumab, teriparatide, and bisphosphonates. …”
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New multifactor spatial prediction method based on Bayesian maximum entropy by YANG Yong, ZHANG Chutian, HE Liyuan

“…However, it contains some deficiencies, such as the lack of effective utilization of environmental information, the smoothing effect of predicted results, difficult to meet the assumption of single point to multipoint Gaussian distribution etc. …”
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Comparative diagnostic accuracy of pre-test clinical probability scores for the risk stratification of patients with suspected pulmonary embolism: a systematic review and Bayesian... by Ali Etemadi, Mohammadmobin Hosseini, Hamed Rafiee, Amir Mahboubi, Tara Mahmoodi, Toshiki Kuno, Yaser Jenab, Claire E. Raphael, Wilbert S. Aronow, Kaveh Hosseini, Jay Giri

“…Diagnostic test accuracy indices were synthesized using beta-binomial Bayesian methods. Results Forty studies (37,027 patients) were included in the meta-analysis. …”
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Understanding the dynamics of financial and economic crises: a comprehensive analysis by Mekki Hamdaoui, Abderraouf Mtiraoui, Zohra Aroussi, Mounir Smida

“…The methodology employed distinguishes short- from long-term relationships, enhancing the analysis’s depth and fortifying the results for autoregressive processes. …”
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A Bayesian Hierarchical Model for Estimation of Abundance and Spatial Density of Aedes aegypti. by Daniel A M Villela, Claudia T Codeço, Felipe Figueiredo, Gabriela A Garcia, Rafael Maciel-de-Freitas, Claudio J Struchiner

“…Mosquito abundance is traditionally estimated from mark-release-recapture (MRR) experiments, which lack proper analysis regarding accurate vector spatial distribution and population density. …”
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Bayesian neural networks for predicting tokamak energy confinement time with uncertainty quantification by Enliang Gao, Chenguang Wan, Youjun Hu, Minglong Wang, Jingjing Lu, Zhisong Qu, Xinghao Wen, Jia Huang, Ying Chen, Heru Guo, Zhengping Luo, Zhi Yu, Xiaojuan Liu, Qiping Yuan, Jiangang Li

“…To address these limitations, we develop two Bayesian neural network (BNN) models: VIBNN and NUTSBNN. …”
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