Clinical efficacy of anti‐amyloid antibodies in apolipoprotein E ε4 homozygotes: A Bayesian reanalysis of lecanemab and donanemab phase 3 results by Stefan Teipel, Yi Tang, Ara Khachaturian

“…Future trials should adopt Bayesian analysis strategies. Bayesian analysis provides evidence for or against treatment effects. …”
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Bath: a Bayesian approach to analyze epigenetic transitions reveals a dual role of H3K27me3 in chondrogenesis by Christoph Neu, Manuela Wuelling, Christoph Waterkamp, Daniel Hoffmann, Andrea Vortkamp

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On Determinants of Exchange Market Pressure in Turkey: The Role of Model Uncertainty by Gülden Poyraz, Ahmet İncekara

“…The Bayesian model averaging (BMA) technique is capable of determining as to whether any explanatory variable should be included in the analysis, i.e. the models with high posterior probability. …”
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Probabilistic estimation of model parameters through grid search approaches: applications to geomagnetic anomaly source estimations by Hiroshi Ichihara, Tatsu Kuwatani, Noriko Tada, Kenji Nagata

“…However, the metrics of the results derived from the grid search approach are predominantly based on residuals between observed data and the model’s anticipated response, such as the root mean square misfit, which lacks representation as a probability distribution. …”
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Machine learning-assisted development of polypyrrole-grafted yarns for e-textiles by Matteo Iannacchero, Joakim Löfgren, Mithila Mohan, Patrick Rinke, Jaana Vapaavuori

“…The reaction conditions are optimized for conductivity and cost-effectiveness by means of Bayesian optimization and Pareto front analysis. Notably, we find that the addition of p-toluenesulfonic acid as a dopant does not significantly influence the conductivity of the yarn and provide a possible rationale based on the surface morphology of the yarn. …”
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Enhancing Machine Learning Models Through PCA, SMOTE-ENN, and Stochastic Weighted Averaging by Youngjin Han, Inwhee Joe

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MIRI-LRS Spectrum of a Cold Exoplanet around a White Dwarf: Water, Ammonia, and Methane Measurements by Maël Voyer, Quentin Changeat, Pierre-Olivier Lagage, Pascal Tremblin, Rens Waters, Manuel Güdel, Thomas Henning, Olivier Absil, David Barrado, Anthony Boccaletti, Jeroen Bouwman, Alain Coulais, Leen Decin, Adrian M. Glauser, John Pye, Alistair Glasse, René Gastaud, Sarah Kendrew, Polychronis Patapis, Daniel Rouan, Ewine F. van Dishoeck, Göran Östlin, Tom P. Ray, Gillian Wright

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Understanding Electric Bike Accidents Through Safe System Approach in Guangzhou, China: A Mixed-Methods Study by Bicen Jia, Jun Li, Qi Wang

“…Employing a mixed-methods approach, this study seeks to elucidate the mechanisms underlying e-bike accidents and to develop an e-bike safe system aimed at enhancing e-bike safety and accident prevention. Quantitative analysis was employed to identify key components and their relationships through an event-based examination of a structured accident dataset using a Bayesian network. …”
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Maximizing Measurement Visual-Inertial Odometry for Low-Light Environment Through Online Image Pre-Processing by Suyong Lee, Hanyeol Lee, Chan Gook Park

“…For a detailed analysis, we conducted experiments using public datasets to validate our approach. …”
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A Multi-Machine and Multi-Modal Drift Detection (M2D2) Framework for Semiconductor Manufacturing by Chin-Yi Lin, Tzu-Liang (Bill) Tseng, Tsung-Han Tsai

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Evaluating the impact of the ‘Blow, Breathe, Cough’ health promotion intervention in resolving otitis media with effusion in children: An adaptive randomized-controlled trial proto... by Jaimee R. Rich, Michael Dymock, Elke J. Seppanen, Elena Montgomery, Tanisha Cayley, Tamara Veselinović, Greta Bernabei, Anri Lester, Amy Hannigan, Nicole Irvine, Kerryn Gidgup, Edna Ninyette, Steph Bray, Tu Trang Tran, Valerie M. Swift, Melinda Edmunds, Natalie Strobel, Daniel McAullay, Julie Marsh, Evelyn Tay, Lea-Ann S. Kirkham, Ruth B. Thornton, Robyn S.M. Choi, Lydia Timms, Emily Jackson, Jafri Kuthubutheen, Peter C. Richmond, Christopher G. Brennan-Jones

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Genetic diversity of the Khorat snail-eating turtle (Malayemys khoratensis) in Thailand by Thotsapol Chaianunporn, Monthakarn Mokarat, Apichaya Ruangsakunporn, Tanapipat Walalite, Wibhu Kutanan, Khemika Lomthaisong, Kanokporn Chaianunporn, Sarun Keithmaleesatti

“…We constructed a haplotype network from the concatenated sequences and analyzed the population structure with the analysis of molecular variance (AMOVA). Additionally, we used a Bayesian Skyline plot (BSP) analysis to estimate the effective female population size and explore the demographic history of this species. …”
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Type A Standard Uncertainty of Long-Term Noise Indicators by Wojciech BATKO, Bartłomiej STĘPIEŃ

“…It is usually determined by means of the classic variance estimators, under the following assumptions: the normality of measurements results, adequate sample size, lack of correlation between elements of the sample and observation equivalence. …”
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Evaluating energy sustainability and causal impact of belt and road initiatives (BRI) in energy-deficient Asian countries by Abdullah Bin Omar, Gang Zeng, Leila N. Salykova

“…Further, the causal impact analysis highlights the varied and significant effects of BRI initiatives on energy sustainability. …”
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An integrated data-driven and causality crash severity model by Yuanyuan Xiao, Zongtao Duan

“…Despite societal concerns over severe crashes, their rarity limits data-driven analysis. Therefore, we propose an integrated approach combining Bayesian neural networks with causal inference to enhance prediction performance and interpretability. …”
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THE EMPIRICAL BAYES METHOD OF ANALYSIS OF A SERIES OF EXPERIMENTS

“…The classical method of analysis of a series of experiments is somewhat involved in being conditional on various, occasionally unrealistic, assumptions such as homogeneity of variances of experimental error, lack of interactions of treatments and places,etc. …”
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CoreTIA: a modular, statistically robust transduction inhibition assay for AAV neutralization by Beatrix Kovács, Beatrix Kovács, Beatrix Kovács, Fanni Somogyi, Fanni Somogyi, Viktória Szabó, Zoltán Zsolt Nagy, István Hernádi, Ferenc Mátyás, Wim Vanduffel, Zsuzsanna Szemlaky, Balázs Rózsa, Balázs Rózsa, István Ulbert, István Ulbert, István Ulbert, István Ulbert, Dániel Hillier, Dániel Hillier, Dániel Hillier

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Mendelian randomization analysis to identify potential drug targets for osteoarthritis. by Chengyang Lu, Yanan Xu, Shuai Chen, Li Guo, Pengcui Li, Xiaochun Wei, Xueqin Rong

“…<h4>Background</h4>Osteoarthritis (OA) is a prevalent chronic joint disease for which there is a lack of effective treatments. In this study, we used Mendelian randomization analysis to identify circulating proteins that are causally associated with OA-related traits, providing important insights into potential drug targets for OA.…”
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Comparison of interventions for Barrett's esophagus: A network meta-analysis. by Qinlin Zhang, Miya Li, Xin Jin, Ruhong Zhou, Yize Ying, Xueping Wu, Jiyong Jing, Wensheng Pan

“…<h4>Methods</h4>Data extracted from eligible randomized controlled trials were utilized in a Bayesian network meta-analysis to examine the relative effectiveness of BE's treatment regimens and determine their ranking in terms of efficacy. …”
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Ranking of treatments in network meta-analysis: incorporating minimally important differences by Tristan Curteis, Augustine Wigle, Christopher J. Michaels, Adriani Nikolakopoulou

“…The methods are easily applied in a Bayesian framework using the R package mid.nma.rank.…”
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