COVID-19 Vaccination and Cardiovascular Events: A Systematic Review and Bayesian Multivariate Meta-Analysis of Preventive Benefits and Risks by Raheleh Karimi, Mina Norozirad, Foad Esmaeili, Marjan Mansourian, Hamid R. Marateb

“…Markov chain Monte Carlo (MCMC) methods were detected for easy implementation of the Bayesian approach. Also, the sensitivity analysis of the model was done by using different priors. …”
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A Classical and Bayesian Approach for Parameter Estimation in Structural Equation Models by Naci Murat, Mehmet Ali Cengiz

“…Structural Equation Models (SEMs) with latent variables provide a general framework for modelling relationships in multivariate data. …”
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Copula Approximate Bayesian Computation Using Distribution Random Forests by George Karabatsos

“…The copulaABCdrf framework also provides a novel multivariate mode estimator to perform MLE and posterior mode estimation and an optional step to perform model selection from a given set of models using posterior probabilities estimated by drf. …”
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A Bayesian quantile regression approach for determining risk factors of low birth weight of under five children in Cambodia by Md. Moyazzem Hossain

“…The study included a weighted sample of 4701 children from the CDHS 2021–22 data. Multivariable simultaneous quantile regression models in a Bayesian setting were used to determine the factors associated with Cambodian children’s low birth weight. …”
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Genomic prediction and genetic parameter estimation for unsaturated and saturated fatty acids in Canadian dairy cattle by S. O. Peters, K. Kizilkaya, E. M. Ibeagha-Awemu, X. Zhao

“…Abstract The current study aimed to obtain the estimates of heritabilities and genetic correlations and the prediction abilities and accuracy of Bayesian GBLUP and Bayesian alphabet (BayesA, BayesB, BayesC) models for total and individual monounsaturated, polyunsaturated and saturated fatty acids from Canadian Holstein cows by using genome-wide SNP markers from genotyping-by-sequencing method. …”
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Beyond labels: determining the true type of blood gas samples in ICU patients through supervised machine learning by Johan Helleberg, Anna Sundelin, Johan Mårtensson, Olav Rooyackers, Ragnar Thobaben

“…The best model was compared to a multivariate logistic regression model (LR) in the holdout set. …”
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Monitoring peripheral blood data supports the prediction of immunotherapy response in advanced non-small cell lung cancer based on real-world data by Ana D. Ramos-Guerra, Benito Farina, Jaime Rubio Pérez, Anna Vilalta-Lacarra, Jon Zugazagoitia, Germán Peces-Barba, Luis M. Seijo, Luis Paz-Ares, Ignacio Gil-Bazo, Manuel Dómine Gómez, María J. Ledesma-Carbayo

“…Six models were trained to predict progression-free survival at 6 months, PFS(6), using different number of longitudinal samples (baseline, two, or four time points) of the neutrophil-to-lymphocyte ratio (NLR) or a multivariate feature selection. …”
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Joint and independent associations of dietary vitamin intake and prevalence of cardiovascular disease in chronic kidney disease subjects: a cross-sectional analysis by Guoqing Wang, Guoqing Wang, Luojun Huang, Luojun Huang, Wenwen Yue, Wenwen Yue, Jun Feng, Jun Feng

“…We performed weighted multivariate logistic regression models to analyze the association of single dietary vitamins intake with CVD. …”
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Association between body roundness index and female infertility: a cross-sectional study of NHANES 2013–2018 by Haiyan Li, Zhenbo OuYang, Ziyao Ding, Xianyue Hu, Xianyue Hu, Yanjing Bao, Yanjing Bao, Tianyang Gao, Wenfeng Hua, Wenfeng Hua, Wenfeng Hua

“…Covariates included demographic traits, physical exam results, laboratory test findings, and survey data. Weighted multivariable logistic regression models and spline smoothing analysis assessed the relationship between the BRI and infertility. …”
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Impact of Recovery from Febrile Neutropenia on Intra-Individual Variability in Vancomycin Pharmacokinetics in Pediatric Patients by Yukie Takumi, Ryota Tanaka, Motoshi Iwao, Ryosuke Tatsuta, Hiroki Itoh

“…CLvcm was estimated using Bayesian estimation based on the pediatric population pharmacokinetic model developed by Le et al., and standardized with allometrically scaled body weight. …”
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Correlation study and full management of metabolic syndrome and sperm DNA fragmentation index, a regional multicentre prospective long term follow-up study from Anhui, China by Dongsheng Ma, Jianhong Xi

“…Univariate-multivariate logistic regression analyses were performed to build a predictive model using R Programming Language (4.42), and to plot the Nomogram, Calibration Curve, Decision Curve Analysis (DCA) Curve, and Clinical impact curve (CIC) to assess the consistency between the predicted probability of the model and the actual occurrence probability, as well as to evaluate the practicality and applicability in clinical decision-making.ResultsIntergroup comparison between the observation and control groups in this study showed no statistical difference between the two groups in terms of baseline information and fertility assessment (P > 0.05). …”
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What proportion of people have long-term pain after total hip or knee replacement? An update of a systematic review and meta-analysis by Rachael Gooberman-Hill, Michael R Whitehouse, Hung-Yuan Cheng, Andrew David Beswick, Vikki Wylde, Wendy Bertram, Mohammad Ammar Siddiqui

“…The risk of bias assessment was performed using Hoy’s checklist. Bayesian, random-effects meta-analysis was used to synthesise the results.Results For TKR, 68 studies with 89 time points, including 598 498 patients, were included. …”
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Efforts to link HIV-positive and high-risk blood donors to HIV testing, and treatment services, Mozambique, 2019–2020 by Udhayashankar Kanagasabai, Leonardo Sousa, Michelle S. Chevalier, Steve Gutreuter, Dina Ibraimo, Sara Salimo, Eva Naueia, Laison Daniel, Selma Khan, Dawud Ujamma, Stephanie Behel, Inacio Malimane, Bakary Drammeh

“…The associations between testing, initiating care and treatment services among HIV-positive blood donors and prospective deferred donors were estimated using fully Bayesian multivariable logistic models and odds ratios. …”
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