Confidence intervals for the COVID-19 neutralizing antibody retention rate in the Korean population by Catherine Apio, Md. Kamruzzaman, Taesung Park

“…Thus, we consider several confidence intervals using Asymptotic, Exact and Bayesian estimation methods. In this article, we found that the Wald method gives the narrowest interval among all Asymptotic methods whereas mid p-value gives the narrowest among all Exact methods and Jeffrey’s method gives the narrowest from Bayesian method. …”
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Terrain Adaptive Estimation of Instantaneous Centres of Rotation for Tracked Robots by Cuifeng Wang, Wenjun Lv, Xiaochuan Li, Mingliang Mei

“…The results of this terrain classification are improved via a Bayesian filter, by utilizing temporal correlation in the terrain time series. …”
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Neural circuits underlying context-dependent competition between defensive actions in Drosophila larvae by Maxime Lehman, Chloé Barré, Md Amit Hasan, Benjamin Flament, Sandra Autran, Neena Dhiman, Peter Soba, Jean-Baptiste Masson, Tihana Jovanic

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TESTING OF CYCLIC STRUCTURAL CHANGES IN SWITCHING REGIME VECTOR AUTOREGRESSIVE MODELS by V. I. Malugin

“…The method is based on a sequential application of two algorithms, realizing the Bayesian “plug-in” decision rule of point wise classification and a statistical test for expected probability of misclassification. …”
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Interaction between dipeptidyl-peptidase-4 inhibitors and drugs acting on renin angiotensin aldosterone system for the risk of angioedema: a pharmacovigilance assessment using disp... by Kannan Sridharan, Gowri Sivaramakrishnan

“…Disproportionality analyses employing both frequentist (Reporting Odds Ratio, Proportional Reporting Ratio) and Bayesian approaches were performed. Drug-drug interactions were assessed using multiplicative drug-drug interaction model. …”
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A Systematic Review and Network Meta-Analysis on the Efficacy of Medications in the Treatment of Chronic Idiopathic Constipation in Japan by Atsushi Nakajima, Ayako Shoji, Kinya Kokubo, Ataru Igarashi

“…We pooled data by random-effects meta-analyses and also performed a Bayesian network meta-analysis to indirectly compare data. …”
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Approaching maximum resolution in structured illumination microscopy via accurate noise modeling by Ayush Saurabh, Peter T. Brown, J. Shepard Bryan IV, Zachary R. Fox, Rory Kruithoff, Cristopher Thompson, Comert Kural, Douglas P. Shepherd, Steve Pressé

“…Consequently, achieving high contrast near the maximum theoretical resolution in an unsupervised, physically principled manner remains an open problem. Here, we propose Bayesian-SIM (B-SIM), a Bayesian framework to quantitatively reconstruct SIM data, rectifying these shortcomings by accurately incorporating known noise sources in the spatial domain. …”
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Analysis of ADR reports of cetuximab based on the FDA adverse event reporting system database by Shuai Zhao, Yan Wang, Xiaoli Deng, Xi Chen, Zhaoyi Lu

“…Disproportionality analyses, including the reporting odds ratio (ROR), the proportional reporting ratio (PRR), the Bayesian confidence propagation neural network (BCPNN), and the empirical Bayesian geometric mean (EBGM) algorithms, were employed to quantify the signals of cetuximab-associated AEs. …”
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Music Distraction among Young Drivers: Analysis by Gender and Experience by Carlos A. Catalina, Susana García-Herrero, Elvira Cabrerizo, Sixto Herrera, Santiago García-Pineda, Fatemeh Mohamadi, M. A. Mariscal

“…To achieve this aim, employing Bayesian networks, the study analysed different music styles, in which they resulted in sample drivers’ speed infractions. …”
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Data mining and analysis of adverse events of Vedolizumab based on the FAERS database by Qinyun Xu, Jing Zhang, Weihong Tang, Minhong Zhou, Xiaoling Zhang, Pu Yuan

“…Data from the second quarter of 2014 to the third quarter of 2023 were collected, employing various signal mining methods such as Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Empirical Bayesian Geometric Mean (EBGM). …”
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Crizanlizumab and comparators for adults with sickle cell disease: a systematic review and network meta-analysis by George Joseph, Howard Thom, Jeroen Jansen, Hung-Yuan Cheng, Jason Shafrin, Lauren Zhao, Subhajit Gupta, Nirmish Shah

“…The NMA found that crizanlizumab 5.0 mg/kg was associated with a reduction in VOC (HR 0.55, 95% credible interval (0.43, 0.69); Bayesian probability of superiority >0.99), all-cause hospitalisation days (0.58 (0.50, 0.68); >0.99) and no evidence of difference on adverse events (0.91 (0.59, 1.43) 0.66) or serious adverse events (0.93 (0.47, 1.87); 0.59) compared with placebo. …”
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Bootstrap Order Determination for ARMA Models: A Comparison between Different Model Selection Criteria by Livio Fenga

“…They are the final prediction error, the Bayesian information criterion, and the Hannan-Quinn information criterion which are employed in conjunction with a semiparametric bootstrap scheme of the type sieve.…”
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Research on Android malware detection based on permission and behavior by Xiao-min ZHANG, Jing LUI, Jun-xi ZHUANG, Ying-xu LAI

“…For the Android platform malicious application,a method of mapping behavior to privilege characteristics by combining static privilege feature analysis and dynamic behavior analysis was proposed,and association analysis algorithm was used to dig out the association rules between privilege features.Feature as a naive Bayesian classification algorithm input,a malicious application detection model was established.Finally,the experiment verify the effectiveness and accuracy of the method.…”
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Estimation of the Parameters of Burr Type III Distribution Based on Dual Generalized Order Statistics by Chansoo Kim, Woosuk Kim

“…The estimation of the parameters of Burr type III distribution based on dual generalized order statistics is considered by using the maximum likelihood (ML) approach as well as the Bayesian approach. The exact expression of the expected Fisher information matrix of the parameters in the distribution is obtained. …”
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Distributed Box Particle Filtering for Target Tracking in Sensor Networks by Ying Liu, Hao Liu

“…Combined with the interval analysis, box particle filtering (BPF) has been proposed to solve the problem of Bayesian filtering when the uncertainties in the measurements are intervals; that is, the measurements are interval-based vectors. …”
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The Rise of Markov Chain Monte Carlo Estimation for Psychometric Modeling by Roy Levy

“…Popular MCMC samplers and their alignment with Bayesian approaches to modeling are discussed. Key historical and current developments of MCMC are surveyed, emphasizing how MCMC allows the researcher to overcome the limitations of other estimation paradigms, facilitates the estimation of models that might otherwise be intractable, and frees the researcher from certain possible misconceptions about the models.…”
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When math legitimizes knowledge: a step by step approach to Bayes’ rule in diagnostic reasoning by Yung Bruno de Mello Gonzaga, André Demambre Bacchi, Vitor Borin Pardo de Souza

“…Through a clinical example involving the diagnosis of systemic lupus erythematosus, we use the Bayesian framework as a tool to help understand the difference between sensitivity/specificity (forward probability; deductive) and positive/negative predictive values (reverse probability: inductive). …”
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Validation of a Model Estimating the Budget Impact of Video Capsule Endoscopy for Surveillance of Crohn’s Disease in an Italian Center by Rhodri Saunders, Carlo Calabrese, Dania Gelli, Jason Davis, Rafael Torrejon Torres

“…Cumulative event incidences were compared annually and semi-annually. Bayesian statistical analysis further validated the model. …”
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A study on the pharmacovigilance of various SGLT-2 inhibitors by Yanwen Dong, Yangyang Wang, Yangyang Wang, Xiaomei Lan, Xiaomei Lan, Huiyan Zeng, Huiyan Zeng

“…Four signal detection metrics—reporting odds ratio (ROR), proportional reporting ratios (PRRs), Bayesian Confidence Propagation Neural Network (BCPNN), and empirical Bayesian geometric mean (EBGM)—were utilized to infer ADRs and assess differences among specific SGLT2i drugs through intersection analysis.ResultsExcept for canagliflozin, both dapagliflozin and empagliflozin showed a general increase in ADRs. …”
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Frequency-specific changes in prefrontal activity associated with maladaptive belief updating in volatile environments in euthymic bipolar disorder by Marina Ivanova, Ksenia Germanova, Dmitry S. Petelin, Aynur Ragimova, Grigory Kopytin, Beatrice A. Volel, Vadim V. Nikulin, Maria Herrojo Ruiz

“…Here, we integrated hierarchical Bayesian modelling with magnetoencephalography (MEG) to characterise maladaptive belief updating in this condition. …”
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