Efficacy and safety of various regional nerve blocks for postoperative analgesia in paediatric patients undergoing developmental dysplasia of the hip surgery: a protocol for system... by Lei Yang, Yu Zhang, Chen Fu, Wang Junxia, Zhijun Qin

“…We will employ the GeMTC package in R software for both direct and indirect comparisons within a Bayesian framework using a random effects model. Additionally, the Confidence in Network Meta-Analysis method will be employed to assess the quality of evidence.Ethics and dissemination Ethical approval is not required for this study, as it exclusively involves the compilation of published data. …”
Get full text

Road traffic crashes trends of severity and injuries in Osun state, Nigeria by Abayomi Afolayan, Adewole Oladele, Samson Olopade, Taiwo Adeoye

“…Based on the value of Akaike's Information Criteria (AIC) and Bayesian's Information Criteria (BIC), the model with the constant was the best of all. …”
Get full text

Diversity of Rhizophydiales (Chytridiomycota) in Thailand: unveiling the hidden gems of the Kingdom by Vedprakash G. Hurdeal, Joyce E. Longcore, E. B. Gareth Jones, Kevin D. Hyde, Eleni Gentekaki

“…To confirm the novelty of the species, we employed robust phylogenetic analyses using maximum likelihood and bayesian methods. The results provided strong support for the presence of eight distinct lineages within the Rhizophydiales, representing our newly discovered species. …”
Get full text

Air Pollution Forecasting Using Artificial and Wavelet Neural Networks with Meteorological Conditions by Qingchun Guo, Zhenfang He, Shanshan Li, Xinzhou Li, Jingjing Meng, Zhanfang Hou, Jiazhen Liu, Yongjin Chen

“…Based on the correlation coefficients between the air pollution index of the targeted day and the tested variables, the API displayed the closest relationship with the API 1 day earlier as well as stronger correlations with the average temperature, average water vapor pressure, minimum temperature, maximum temperature, API 2 days earlier, and API 3 days earlier. When Bayesian regularization was applied as a training algorithm, the WANN and ANN models accurately reproduced the APIs in both Xi’an and Lanzhou, although the WANN model (R = 0.8846 for Xi’an and R = 0.8906 for Lanzhou) performed better than the ANN (R = 0.8037 for Xi’an and R = 0.7742 for Lanzhou) during the forecasting stage. …”
Get full text

Predicting treatment response to ketamine in treatment-resistant depression using auditory mismatch negativity: Study protocol. by Josh Martin, Fatemeh Gholamali Nezhad, Alice Rueda, Gyu Hee Lee, Colleen E Charlton, Milad Soltanzadeh, Karim S Ladha, Sridhar Krishnan, Andreea O Diaconescu, Venkat Bhat

“…To translate the effects of ketamine on the MMN to computational mechanisms, we will model changes in the auditory MMN using the hierarchical Gaussian filter, a hierarchical Bayesian model. Furthermore, we will employ a conductance-based neural mass model of the electrophysiological data to link these computational mechanisms to their neural causes.…”
Get full text

Latent class analysis of the capacity of countries to manage diabetes and its relationship with diabetes-related deaths and healthcare costs by Samuel Akyirem, Emmanuel Ekpor, Charles Boakye Kwanin

“…We performed LCA of these indicators, testing 1–5 class solutions, and selecting the best model based on Bayesian Information Criteria (BIC), entropy, corrected Akaike Information Criteria (cAIC), as well as theoretical interpretability. …”
Get full text

Genetic diversity analysis of apricots from Dagestan using SSR markers by D. M. Anatov, I. I. Suprun, I. V. Stepanov, S. V. Tokmakov

“…The tendency towards setting apart the genotypes of hybrid origin (obtained from free pollination of introduced cultivars) from the locally selected cultivars was observed by comparing the results of Bayesian analysis and the K-means approach using the Structure and Statistica software. …”
Get full text

Safety assessment of rosuvastatin-fenofibrate combination in the treatment of hyperlipidemia based on FDA’s adverse event reporting system database by Qun Li, Wenya Shan, Saiwei Wu

“…The proportional report ratio (PRR), reporting odds ratio (ROR), and Bayesian Confidence Propagation Neural Network (BCPNN) analysis were used to extract data from FAERS for suspected signals referring to the combination of rosuvastatin and fenofibrate.ResultsA total of 68 safety signals were detected from the top 250 AEs in 3,587 reports, of which 28 signals were not included in the drug labels. …”
Get full text

Multilevel analysis of factors associated with suicide attempts: Evidence from 2022/2023 Mozambique Demographic and Health Survey. by Angwach Abrham Asnake, Beminate Lemma Seifu, Bezawit Melak Fente, Hiwot Altaye Asebe, Meklit Melaku Bezie, Yohannes Mekuria Negussie, Zufan Alamrie Asmare, Mamaru Melkam

“…The fitted model was evaluated using AIC and BIC, with the model having the lowest Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) is another statistical measure used to assess the quality of a model, similar to the Akaike Information Criterion (AIC). …”
Get full text

A Systematic Literature Review and Indirect Treatment Comparison of Efficacy of Repository Corticotropin Injection versus Synthetic Adrenocorticotropic Hormone for Infantile Spasms by Michael S. Duchowny, Ishveen Chopra, John Niewoehner, George J. Wan, Beth Devine

“…Relevant clinical trials on RCI or synthetic ACTH therapy and reporting either cessation of spasms or resolution of hypsarrhythmia, separately or as a combined outcome were included. A Bayesian indirect treatment comparison using a fixed-effects model was used for comparative efficacy. …”
Get full text

Sex disparities in the association between rare earth elements exposure and genetic mutation frequencies in lung cancer patients by Mengyuan Liu, Jiali Zhang, Xiaohong Duan, Qiming Zhou, Jing Chen, Siyao Liu, Junyan Su, Li Han, Fan Yang, Niansong Qian

“…This observation was validated using the Bayesian Kernel Machine Regression (BKMR) model. Additionally, plasma REE levels was associated with specific mutation types and variant allele frequencies (VAFs) of particular genes in a sex-dependent manner. …”
Get full text

A Network Meta-Analysis to Compare Effectiveness of Baricitinib and Other Treatments in Rheumatoid Arthritis Patients with Inadequate Response to Methotrexate by Walid Fakhouri, Xiaofei Wang, Inmaculada de La Torre, Claudia Nicolay

“…**Methods:** A systematic literature review was conducted to identify randomized controlled trials (RCTs) of the interventions of interest. Bayesian network meta-analyses (NMA) were used to compare American College of Rheumatology (ACR) responses at 24 weeks. …”
Get full text

Estimation of the size, density, and demographic distribution of the UK pet dog population in 2019 by Kirsten M. McMillan, Xavier A. Harrison, David C. Wong, Melissa M. Upjohn, Robert M. Christley, Rachel A. Casey

“…Using a hierarchical Bayesian N-mixture model, we estimate 12.64 million (mean, 95% CI 8.54–15.16 million; median, 13.03 million, 95% CI 8.51–15.24 million) owned and unowned pet dogs within the UK in 2019. …”
Get full text

An interpretable and transparent machine learning framework for appendicitis detection in pediatric patients by Krishnaraj Chadaga, Varada Khanna, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga, Shashikiran Umakanth, Devadas Bhat, K. S. Swathi, Radhika Kamath

“…Six heterogeneous searching techniques have been used to perform hyperparameter tuning and optimize predictions. These are Bayesian Optimization, Hybrid Bat Algorithm, Hybrid Self-adaptive Bat Algorithm, Firefly Algorithm, Grid Search, and Randomized Search. …”
Get full text

A New Robust Adaptive Fading Unscented Kalman Filter-Based Vector Tracking Loop for Mitigating GNSS NLOS Reception by Mengxia He, Shing-Chow Chan, Bo Chai, Zhong Liu

“…It integrates the AF-KF approach previously proposed for adaptive Bayesian KF to the UKF-based navigation filter to update the scale of the state and measurement noise covariances so that system noise and measurement uncertainties can be mitigated. …”
Get full text

Determinants of physical activity among female students based on the transtheoretical model by Maryam Abdoli, Leili Tapak, Payam Amini, Azam Geravandi, Babak Moeini, Omid Hamidi, Maryam Afshari

“…This study was conducted on 745 individuals between the ages of 12 and 16 years and was analyzed using a generalized linear model (GLM) approach with appropriate link functions using both classical and Bayesian frameworks. The results show that in model 1, the probit link function is a more appropriate approach to determine the risk factors for physical activity. …”
Get full text

Inversion for Geofluid Discrimination Based on Poroelasticity and AVO Inversion by Lingqian Wang, Hui Zhou, Bo Yu, Yanxin Zhou, Wenling Liu, Yukun Tian

“…Meanwhile, we introduce the Bayesian inference with multivariable Cauchy prior to the fluid modulus inversion for a stable and high-resolution solution. …”
Get full text

A Predictive Nomogram for Selective Screening of Chronic Kidney Disease: A Population-Based Study by Nghia H. Vo, Bui V. Pham, Nghia N. Nguyen, Bao T. Nguyen

“…The CKD was diagnosed using the albumin-to-creatinine ratio and/or estimated glomerular filtration rate by the CKD-EPI 2009 equation based on serum creatinine, age, gender, and race (these tests included a baseline measurement and a repeat measurement after 3 months) according to the KDIGO 2012 guideline. We used the Bayesian Model Averaging method to identify the optimal model for predicting CKD. …”
Get full text

Renal Dysfunction, Metabolic Syndrome and Cardiovascular Disease Mortality by David Martins, Chizobam Ani, Deyu Pan, Omolola Ogunyemi, Keith Norris

“…Multivariable Cox Proportional hazard regression analysis techniques explored the relationship between co-clustered CKD, MetS and CVD mortality. Bayesian analysis techniques tested the predictive accuracy for CVD Mortality of two models using co-clustered MetS and CKD and MetS alone. …”
Get full text

Preoxygenation strategies before intubation in patients with acute hypoxic respiratory failure: a network meta-analysis by Na Ye, Na Ye, Chen Wei, Jiaxiang Deng, Yingying Wang, Hongwen Xie

“…Data were extracted and analyzed using pairwise and network meta-analysis within a Bayesian framework. Model selection was based on the deviance information criterion (DIC).ResultsA total of 11 randomized controlled trials involving 2,874 patients were included. …”
Get full text