Showing 341 - 360 results of 1,292 for search '"Bayesian"', query time: 0.07s Refine Results
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    Spatial Distribution and Determinants of Nonautonomy on Decision Regarding Contraceptive Utilization among Married Reproductive-Age Women in Ethiopia: Spatial and Bayesian Multilevel Analysis by Setognal Birara Aychiluhm, Kusse Urmale Mare, Mequannent Sharew Melaku, Abay Woday Tadesse

    Published 2021-01-01
    “…A weighted sample of 3,668 married reproductive-age women currently using contraceptives was included in this analysis. Bayesian multilevel logistic regression models were fitted to identify the determinants of women’s nonautonomy on contraceptive utilization. …”
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    Article
  5. 345

    Comparison of Different Molecular Weights of Intra-Articular Hyaluronic Acid Injections for Knee Osteoarthritis: A Level I Bayesian Network Meta-Analysis by Filippo Migliorini, Nicola Maffulli, Cornelis Hindriks Nijboer, Gaetano Pappalardo, Mario Pasurka, Marcel Betsch, Joshua Kubach

    Published 2025-01-01
    “…<b>Background:</b> The present Bayesian network meta-analysis compared the efficacy of intra-articular injections of different molecular weights of hyaluronic acid (HA) in patients with knee osteoarthritis. …”
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    Article
  6. 346

    Reconstruction of Exposure to m-Xylene from Human Biomonitoring Data Using PBPK Modelling, Bayesian Inference, and Markov Chain Monte Carlo Simulation by Kevin McNally, Richard Cotton, John Cocker, Kate Jones, Mike Bartels, David Rick, Paul Price, George Loizou

    Published 2012-01-01
    “…We investigated the integration of physiologically based pharmacokinetic modelling, global sensitivity analysis, Bayesian inference, and Markov chain Monte Carlo simulation to obtain a population estimate of inhalation exposure to m-xylene. …”
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    Article
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    DOA Estimation for a Mixture of Uncorrelated and Coherent Sources Based on Hierarchical Sparse Bayesian Inference with a Gauss-Exp-Chi2 Prior by Pinjiao Zhao, Weijian Si, Guobing Hu, Liwei Wang

    Published 2018-01-01
    “…Direction of arrival (DOA) estimation algorithms based on sparse Bayesian inference (SBI) can effectively estimate coherent sources without recurring to extra decorrelation techniques, and their estimation performance is highly dependent on the selection of sparse prior. …”
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    Article
  9. 349

    How does individualised physiotherapy work for people with low back pain? A Bayesian Network analysis using randomised controlled trial data. by Bernard X W Liew, Jon J Ford, Marco Scutari, Andrew J Hahne

    Published 2021-01-01
    “…Sequences of variables in the Bayesian Network showed the most common direct and indirect recovery pathways followed by participants with low back pain receiving individualised physiotherapy versus advice.…”
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    Article
  10. 350

    Temporal shifts in dengue epidemic in Guangdong Province before and during the COVID-19 pandemic: a Bayesian model study from 2012 to 2022. by Jiaqing Xu, Xiaohua Tan, Yi Quan, Dexin Gong, Hui Deng, Jianguo Zhao, Xing Huang, Yingtao Zhang, Zhoupeng Ren, Zuhua Rong, Weilin Zeng, Xing Li, Wenyuan Zheng, Shu Xiao, Jianpeng Xiao, Meng Zhang

    Published 2025-02-01
    “…Based on the counterfactual framework, we constructed the Bayesian structural time series (BSTS) model to capture the epidemic trends of dengue.…”
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    Beyond Microbial Variability: Disclosing the Functional Redundancy of the Core Gut Microbiota of Farmed Gilthead Sea Bream from a Bayesian Network Perspective by Federico Moroni, Fernando Naya-Català, Ahmed Ibrahem Hafez, Ricardo Domingo-Bretón, Beatriz Soriano, Carlos Llorens, Jaume Pérez-Sánchez

    Published 2025-01-01
    “…To overcome this limitation, in this study, fish intestinal microbiota was analyzed through a meta-analysis, identifying the core microbiota and constructing stochastic Bayesian network (BN) models with SAMBA. We combined three experiments performed with gilthead sea bream juveniles of the same hatchery batch, reared at the same season/location, and fed with diets enriched on processed animal proteins (PAP) and other alternative ingredients (NOPAP-PP, NOPAP-SCP). …”
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    Fedratinib combined with ropeginterferon alfa-2b in patients with myelofibrosis (FEDORA): study protocol for a multicentre, open-label, Bayesian phase II trial by Graham McIlroy, Charlotte Gaskell, Aimee Jackson, Emily Yafai, Rachel Tasker, Catherine Thomas, Sonia Fox, Rebecca Boucher, Fitsum Ghebretinsea, Claire Harrison, Adam J. Mead, Mary Frances McMullin

    Published 2025-01-01
    “…Methods FEDORA is a single arm, multicentre, open-label, Bayesian phase II trial to assess tolerability, safety, and activity of fedratinib with ropeginterferon alfa-2b aiming to recruit 30 patients. …”
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    Bayesian Regularized Neural Network Model Development for Predicting Daily Rainfall from Sea Level Pressure Data: Investigation on Solving Complex Hydrology Problem by Lu Ye, Saadya Fahad Jabbar, Musaddak M. Abdul Zahra, Mou Leong Tan

    Published 2021-01-01
    “…Five advanced AI algorithms such as extreme learning machine (ELM), Bayesian regularized neural networks (BRNNs), Bayesian additive regression trees (BART), extreme gradient boosting (xgBoost), and hybrid neural fuzzy inference system (HNFIS) were used considering the complex relationship of rainfall with sea level pressure. …”
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