The global burden of otitis media in 204 countries and territories from 1992 to 2021: a systematic analysis for the Global Burden of Disease study 2021 by Guan-Jiang Huang, Bao-Rui Lin, Pei-Shan Li, Na Tang, Zhi-Jun Fan, Biao-Qing Lu

“…Future projections were generated using Bayesian age-period-cohort (BAPC) and auto-regressive integrated moving average (ARIMA) models.ResultsThe global incidence of otitis media rose from 322.1 million cases in 1992 to 391.3 million in 2021, with ASIR increasing slightly from 5345.09 to 5529.1 per 100,000 (EAPC: 0.11%). …”
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Cadmium and selenium blood levels in association with congestive heart failure in diabetic and prediabetic patients: a cross-sectional study from the national health and nutrition... by Renyue Ji, Haisheng Wu, Hongli Lin, Yang Li, Yumeng Shi

“…Logistic regression, weighted quantile sum (WQS), and Bayesian kernel machine learning (BKMR) models were employed to investigate the association between exposure to mixtures of five heavy metals and the odds of having CHF in individuals with diabetes and prediabetes. …”
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Kidney damage on fertility and pregnancy: A Mendelian randomization. by Jin Ren, Qiuyan Huang, Xiaowei Lie, Xingli Tong, Qi Yao, Ge Zhou

“…Next, we introduced the Bayesian model averaging MR analysis to detect major causal relationships and render the results robust. …”
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Spatial genetic characterization of the red fox (Vulpes vulpes) in the area between the Alps and the Central Dinaric Mountains by A. Devedžić, F. F. Urzi, B. Pokorny, G. Vengušt, D. Ž. Vengušt, F. Janžekovič, L. Velić, T. Eterović, B. K. Stroil, E. Bužan

“…Our analyses, which included Bayesian clustering techniques, revealed a weak genetic differentiation among the studied populations. …”
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Association between the exposure to brominated flame retardants and psoriasis risk among U.S. adults: A population-based study by Jingbo Zhang, Xiangyun Shi, Genlong Bai, Jin Chen, Yidian Fu, Aijun Chen

“…Multivariable logistic regression, restricted cubic splines (RCS), weighted quantile sum (WQS) regression, quantile-based g computation (Qgcomp) regression, and Bayesian kernel machine regression (BKMR) models were performed to estimate the associations. …”
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Machine learning-driven prediction of medical expenses in triple-vessel PCI patients using feature selection by Kuan-Yu Chen, Yen-Chun Huang, Chih-Kuang Liu, Shao-Jung Li, Mingchih Chen

“…The machine learning algorithms used included linear regression (LR), random forest (RF), support vector regression (SVR), generalized linear model boost (GLMBoost), Bayesian generalized linear model (BayesGLM), and extreme gradient boosting (eXGB). …”
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Associations between phenol and paraben exposure and the risk of developing breast cancer in adult women: a cross-sectional study by Yao Xiong, Zhiyu Li, Xiong Xiong, Zixuan Luo, Kaixin Zhong, Jiawei Hu, Shengrong Sun, Chuang Chen

“…Weighted quantile sum (WQS) and Bayesian Kernel Machine Regression (BKMR) analysis revealed no significant overall association between mixtures of urinary phenol and paraben metabolites and BC risk. …”
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Estimation of minimum miscible pressure in carbon dioxide gas injection using machine learning methods by Ali Akbari, Ali Ranjbar, Yousef Kazemzadeh, Fatemeh Mohammadinia, Amirjavad Borhani

“…Furthermore, ML algorithms such as Artificial Neural Networks (ANN), Bayesian networks, Random Forest (RF), Support Vector Machine (SVM), LSBoost, and Linear Regression (LR) were employed to estimate MMP. …”
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Comparative Analysis of Seventeen Mitochondrial Genomes of Mileewinae Leafhoppers, Including the Unique Species Mileewa digitata (Hemiptera: Cicadellidae: Mileewinae) From Xizang,... by Hongli He, Bin Yan, Xiaofei Yu, Maofa Yang

“…Phylogenetic analyses using Bayesian Inference (BI) and Maximum Likelihood (ML) generated six trees, further questioning the monophyly of the genera Mileewa, Ujna, and Processina. …”
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A new species of Acanthosaura Gray, 1831 (Reptilia: Agamidae) from the Truong Son Mountain Range, Vietnam by Hai Ngoc Ngo, Linh Tu Hoang Le, Tao Thien Nguyen, Tuan Minh Nguyen, Ngan Thi Nguyen, Tien Quang Phan, Truong Quang Nguyen, Thomas Ziegler, Dang Trong Do

“…Maximum likelihood (ML) and Bayesian inference (BI) analyses using two mitochondrial genes (COI and Cytb) support the monophyly of Acanthosaura cuongi. …”
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The Association between Ambient Fine Particulate Matter and Oral Neoplasm among Smokers and Betel Quids Chewers by Mei-Sheng Ku, Pallop Siewchaisakul, Amy Ming-Fang Yen, Chen-Yu Liu

“…Information on age, gender, living area, personal oral habits, and monthly PM2.5 concentration in average were collected. We used the Bayesian random-effect logistic regression model to assess the association between PM2.5 and OPMD/OC. …”
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Traditional Chinese medicine injections for heart failure: a protocol for systematic review and network meta-analysis of randomised controlled trials by Shanshan Lin, Qingyang Shi, Fengwen Yang, Xianliang Wang, Jingyuan Mao

“…NMA will be performed in a Bayesian hierarchical framework using R V.3.6.1 with the gemtc package. …”
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Individual and joint effects of exposure to multiple organophosphate esters and the risk of depression in adults: Differences in sex, age, and physical activity by Qingmiao Wei, Jiyun Wei, Jun Liang

“…Generalized linear model, quantile g-computation (Qgcomp), and Bayesian kernel machine regression (BKMR) were utilized to assess the effects of OPEs on depression. …”
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Matching-Adjusted Indirect Comparison of the Efficacy and Safety of Erdafitinib vs Enfortumab Vedotin in Patients with Locally Advanced Metastatic Urothelial Carcinoma by Suzy Van Sanden, Ayman Youssef, Simona Baculea, Keith Stubbs, Spyros Triantos, Zijiao Yuan, Caitlin Daly

“…The MAIC-recalculated hazard ratio (95% credible interval) for erdafitinib vs EV was 0.92 (0.54, 1.57) for overall survival and 0.93 (0.55, 1.56) for progression-free survival, yielding Bayesian probabilities of erdafitinib being better than EV of 62.1% and 60.5%, respectively. …”
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Method of Helicopter Turboshaft Engines’ Protection During Surge in Starting Mode by Denys Baranovskyi, Serhii Vladov, Maryna Bulakh, Victoria Vysotska, Viktor Vasylenko, Jan Czyżewski

“…The backpropagation algorithm with hyperparameter optimization via Bayesian optimization was used to train the network. …”
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Comparing Prednisone and Methotrexate to Off-label Biologic Infliximab for Management of Ocular Uveitis: A Cost-minimization Analysis by William V. Padula, Miguel Cordero-Coma, Taygan Yilmaz, William V. Padula, Michéal J. Gallagher, Jonathan D. Campbell

“…We conducted univariate sensitivity analyses and a Bayesian multivariate probablistic sensitivity analysis to estimate uncertainty in results. …”
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Electrical Conductivity of Mantle Transition Zone and Water Content Revealed by the Magnetic Data of China Seismo-Electromagnetic Satellite by Mingquan Lai, Xiuyan Ren, Changchun Yin, Yunhe Liu, Xinpeng Ma, Yinglin Wang, Shufan Zhao

“…The radial conductivity model and uncertainty information of the Earth are obtained by using Bayesian inversion. It is found that large changes in the electrical results of MTZ occur when using the CSES magnetic field data. …”
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Associations between the intake of single and multiple dietary vitamins and depression risk among populations with chronic kidney disease by Chunli Yu, Kun Liu, Weiguo Yao, Dingzhong Tang

“…Weighted multivariate logistic regression models were utilized to analyze the associations of individual dietary vitamin intakes with depression risk. Additionally, Bayesian kernel machine regression (BKMR) and weighted quantile sum (WQS) regression were performed to evaluate the joint effect of the intake of the nine vitamins on depression risk.ResultsThe overall prevalence of depression was approximately 11.3% in the study participants. …”
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An analysis of the burden of migraine and tension-type headache across the global, China, the United States, India and Japan by Rongjiang Xu, Ruonan Zhang, Liang Dong, Xiaonuo Xu, Xiaoping Fan, Jiying Zhou

“…The data is studied utilizing decomposition analysis, health inequality research, joinpoint regression model, and Bayesian Average Annual Percentage Change (BAPC) model.ResultsThe study found that migraine mostly affects women aged 15–49, while TTH are evenly distributed across gender and age. …”
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Strengths use and thriving at work among nurses: a latent profile and mediation analysis by Jing Wu, Zhenrong Shen, Zidan Ouyang, Yuxuan Xiang, Ru Ding, Yuan Liao, Li Chen

“…Potential categories of nurse strengths use characteristics were identified using potential profile analysis, and potential relationships between variables were determined using Pearson correlation analysis, Bayesian factor robustness analyses, and Mediation analysis. …”
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