Critical biomarkers for responsive deep brain stimulation and responsive focal cortex stimulation in epilepsy field by Zhikai Yu, Binghao Yang, Penghu Wei, Hang Xu, Yongzhi Shan, Xiaotong Fan, Huaqiang Zhang, Changming Wang, Jingjing Wang, Shan Yu, Guoguang Zhao

“…The Linear Discriminant Analysis model demonstrates the highest accuracy among the three basic machine learning models, whereas the Naive Bayesian model necessitates the least amount of computational and storage space. …”
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Comparison of growth models to describe growth from birth to 6 years in a Beninese cohort of children with repeated measurements by Achille Massougbodji, Michel Cot, Shukrullah Ahmadi, Florence Bodeau-Livinec, Roméo Zoumenou, André Garcia, David Courtin, Jules Alao, Nadine Fievet, Jérémie Botton

“…The goodness-of-fit of the models was assessed using residual distribution over age and compared with the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). The best-fitting model allowed estimating mean weight and height growth trajectories, individual growth and growth velocities. …”
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Protocol for an adaptive platform trial of intended service user-derived interventions to equitably reduce non-attendance in eye screening programmes in Botswana, India, Kenya and... by Min Kim, David Macleod, Michael Gichangi, Andrew Bastawrous, Matthew J Burton, Jacqueline Ramke, Oathokwa Nkomazana, James R Carpenter, Sailesh Mishra, Shalinder Sabherwal, Luke Allen, Sarah Karanja, Ari Ho-Foster, Nigel Bolster, Malebogo Tlhajoane, Bakgaki Ratshaa

“…The primary outcome will be the probability of accessing treatment among the population group with the worst access at baseline. We will calculate Bayesian posterior probabilities of clinic attendance in each arm every 72 hours. …”
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Geographic and socioeconomic variation of sodium and potassium intake in Italy: results from the MINISAL-GIRCSI programme by Simona Giampaoli, Francesco P Cappuccio, Chen Ji, Luigi Palmieri, Diego Vanuzzo, Chiara Donfrancesco, Renato Ippolito, Pasquale Strazzullo

“…Objectives To assess geographic and socioeconomic gradients in sodium and potassium intake in Italy.Setting Cross-sectional survey in Italy.Participants 3857 men and women, aged 39–79 years, randomly sampled in 20 regions (as part of a National cardiovascular survey of 8714 men and women).Primary outcome measures Participants’ dietary sodium and potassium intakes were measured by 24 h urinary sodium and potassium excretions. 2 indicators measured socioeconomic status: education and occupation. Bayesian geoadditive models were used to assess spatial and socioeconomic patterns of sodium and potassium intakes accounting for sociodemographic, anthropometric and behavioural confounders.Results There was a significant north-south pattern of sodium excretion in Italy. …”
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Informed Design of a Gravity Science Experiment for the Future Geophysical Investigation of the Uranian Moons by Valerio Filice, Gael Cascioli, Sébastien Le Maistre, Rose-Marie Baland, Antony Trinh, Erwan Mazarico, Sander Goossens

“…Using a combination of Bayesian and Precise Orbit Determination inversions, it is possible to determine mission requirements ensuring the achievement of scientific goals. …”
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Heat-related mortality in Mexico: A multi-scale spatial analysis of extreme heat effects and municipality-level vulnerability by Lara Schwarz, Chen Chen, Javier Emmanuel Castillo Quiñones, L.C. Aguilar-Dodier, Kristen Hansen, Jaime Reyes Sanchez, David J.X. González, Gordon McCord, Tarik Benmarhnia

“…A within-community matched design with Bayesian Hierarchical model explored effects across 2456 municipalities. …”
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On the tracks of an uninvited guest, the Asian tiger mosquito, Aedes albopictus in Cyprus by Riccardo Piccinno, Giulia Fiorenza, Marlen Ines Vasquez, Jeremy Bouyer, Gregoris Notarides, Ludvik Marcus Gomulski, Soteris Meletiou, Mustafa Akiner, Antonios Michaelakis, Federico Forneris, Giovanni Maga, Giuliano Gasperi, Anna Rodolfa Malacrida

“…Methods We applied highly polymorphic simple sequence repeat (SSR) markers to the Ae. albopictus mosquitoes collected in Cyprus and to specimens from Italy, France, Switzerland, the Balkans, Greece and Turkey to construct an SSR individual genotype dataset that would enable the invasion pattern of Ae. albopictus in Cyprus to be traced. Bayesian clustering analyses using STRUCTURE and BayesAss version 3 were employed to derive information on the degree of ancestry among Cypriot and Mediterranean mosquitoes and on recent mosquito movements both within Cyprus and between Cyprus and the Central Mediterranean areas. …”
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Incidence and estimated risk of residual transmission of hepatitis a virus and parvovirus B19 by blood transfusion in the state of Rio De Janeiro – Brazil: a retrospective study by Arthur Daniel Rocha Alves, Mariana Magaldi, Ana Carolina Sathler de Menezes, Josiane Iole França Lopes, Carlos Alexandre da Costa Silva, Jaqueline Mendes de Oliveira, Camila Mattos, Leonardo Bastos, Luiz de Melo Amorim Filho, Marcelo Alves Pinto, Luciane Almeida Amado

“…The risk of transfusion transmission was determined using a Bayesian statistical approach. Results HAV-RNA and B19V-DNA were detected in 1.66 (95% CI 0.26–5.48) and 3.32 (95% CI 1.00-7.81) per 1000 donors, respectively. …”
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Identification of potential druggable targets for endometriosis through Mendelian randomization analysis by Peng Chen, Xin Wei, Xiao-Ke Li, Yi-Hang Zhou, Yi-Hang Zhou, Qi-Fang Liu, Ling Ou-Yang

“…We applied a range of validation techniques, including reverse causality detection, phenotype scanning, Bayesian co-localization (BC) analysis, and external validations to substantiate our findings. …”
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A novel model-based meta-analysis to indirectly estimate the comparative efficacy of two medications: an example using DPP-4 inhibitors, sitagliptin and linagliptin, in treatment o... by Yan Gong, James Rogers, Christian Friedrich, Sanjay Patel, Alexander Staab, Jorge Luiz Gross, Daniel Polhamus, William Gillespie, Brigitta Ursula Monz, Silke Retlich

“…Comparison of two oral dipeptidyl peptidase (DPP)-4 inhibitors, sitagliptin and linagliptin, for type 2 diabetes mellitus (T2DM) treatment was used as an example.Design Systematic review with MBMA.Data sources MEDLINE, EMBASE, http://www.ClinicalTrials.gov, Cochrane review of DPP-4 inhibitors for T2DM, sitagliptin trials on Food and Drug Administration website to December 2011 and linagliptin data from the manufacturer.Eligibility criteria for selecting studies Double-blind, randomised controlled clinical trials, ≥12 weeks’ duration, that analysed sitagliptin or linagliptin efficacies as changes in glycated haemoglobin (HbA1c) levels, in adults with T2DM and HbA1c >7%, irrespective of background medication.Model development and application A Bayesian model was fitted (Markov Chain Monte Carlo method). …”
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Patterns of interpopulation variation and physiological trade-offs of the acute thermal tolerance of juvenile Chinook salmon (Oncorhynchus tshawytscha) by Kenneth W. Zillig, Kenneth W. Zillig, Heather N. Bell, Alyssa M. FitzGerald, Alyssa M. FitzGerald, Nann A. Fangue

“…Acclimation capacity was determined as the maximum difference in CTMAX between fish acclimated to 11°C and 20°C during their second trial, capturing the full acclimatory scope. Bayesian models were employed to test the thermal trade-off hypothesis, which posits that individuals or populations with higher thermal tolerance have reduced capacity for acclimation. …”
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Relationship between prenatal metals exposure and neurodevelopment in one-year-old infants in the CLIMB study by Xiao-Yuan Fan, Xian-Shu Lin, Bing-Rui Yang, Han-Wen Zhang, Feng Tang, Jia-Jia Tang, He-Bin Chi, Toby Mansell, Noora Kartiosuo, Yin-Yin Xia, Ting-Li Han, Hua Zhang, Philip Baker, Richard Saffery

“…Multiple statistical methods, including linear models, restricted cubic splines (RCS), weighted quantile sum (WQS) regression, and Bayesian kernel machine regression (BKMR). Results: After adjusting for potential confounders, prenatal arsenic (As) and strontium (Sr) levels were associated with lower PDI scores (As: β = −2.324; 95 % CI: −4.61, −0.04; Sr: β = −2.426; 95 % CI: −4.67, −0.18) by linear regression, while Sr was associated with lower MDI scores (β = −2.841; 95 % CI: −5.44, −0.25). …”
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Prognostic Value of Inflammatory and Nutritional Indicators in Non-Metastatic Soft Tissue Sarcomas by Yan Y, Zhang Y, Chen Y, Zhong G, Huang W, Zhang Y

“…Univariate and multivariate regression analyses identified significant predictors, and model performance was assessed using the Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), Concordance Index (C-index), and Likelihood Ratio Chi-Square (LR_χ 2).Results: Univariate analysis indicated that NLR, PLR, LMR, SIRI, AGR, and PAR show potentially significant differences (P< 0.01), except for PNI. …”
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Gene prediction of immune cells association between gut microbiota and colorectal cancer: a Mendelian randomization study by Yan Zhong, Guanglei Chen, Menglu Chen, Junsong Cui, Qianren Tan, Zhenghua Xiao

“…Finally, we supplemented our analysis with methods such as Bayesian Weighted Mendelian Randomization (BWMR), Maximum-Likelihood, Lasso, Debiased Inverse Variance Weighted, and Contamination Mixture to establish a robust and compelling causal relationship.ResultsAfter accounting for reverse causality, horizontal pleiotropy, and various methodological corrections, Bifidobacterium kashiwanohense, GCA-900066755 sp900066755, Geminocystis, and Saccharofermentanaceae exhibited strong and robust causal effects on CRC. …”
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Association between red blood cell distribution width and genetic risk in patients with rheumatoid arthritis: a prospective cohort study and Mendelian randomization analysis by Mingyang Chen, Jing Lei, Zhenqiu Liu, Renjia Zhao, Yanfeng Jiang, Kelin Xu, Tiejun Zhang, Chen Suo, Xingdong Chen

“…Two-sample mendelian randomization and bayesian colocalization were used to infer the causal relation between them. …”
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Screening for schistosomiasis in a non-endemic setting: Accuracy of a rapid antibody test using finger prick blood by Margherita Ortalli, Bianca Granozzi, Michele Bacchiega, Concettina Di Lillo, Greta Roncarati, Silvia Stefania Longoni, Cristina Mazzi, Elisa Vanino, Zeno Bisoffi, Stefania Varani

“…Statistical analysis was performed using a Bayesian latent class model.We enrolled 198 subjects in the study. …”
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Safety and efficacy of dual versus triple antithrombotic therapy (DAT vs TAT) in patients with atrial fibrillation following a PCI: a systematic review and network meta-analysis by Abdulaali R Almutairi, Renad M Altoukhi, Reema A Alshouimi, Shahad M Al Rammah, Mohammed Y Alzahrani, Abdulmajeed M Alshehri, Osamah M Alfayez, Majed S Al Yami, Omar A Almohammed

“…We aimed to compare the efficacy and safety of DAT regimens using a network meta-analysis (NMA) approach.Design A systematic review and NMA of randomised clinical trials.Methods We conducted a systematic literature review to identify relevant randomised clinical trials and performed a Bayesian NMA for International Society on Thrombosis and Haemostasis (ISTH) major or clinically relevant non-major (CRNM) bleeding, all-cause mortality, stroke, myocardial infarction (MI) and stent thrombosis outcomes. …”
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Behavioural Risk for HIV, Hepatitis B, and Hepatitis C Infections among a Population of Drug Users and Injectors across Four Regions in Ghana by Chris Guure, Sharren Margaret Obiri-Yeboah Laryea, Samuel Dery, Carlota Baptista da Silva, Comfort Asamoah-Adu, Stephen Ayisi-Addo, Maria-Goretti Loglo, Adamu Mohammed, Kwasi Torpey

“…Data were analyzed using the Bayesian generalized linear model via the binomial family of distributions under the logit link function with weak Cauchy and Normal distribution as prior. …”
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Assessment of genetic conservation units of an endangered glacial relict insular species, Amentotaxus formosana, based on fine-scale genetic structures of multiple fragmented mount... by Ya-Zhu Ko, Huie-Chuan Shih, Chin-Shang Ho, Chaur-Tzuhn Chen, Tsai-Wen Hsu, Meng-Shin Shiao, Yu-Chung Chiang, Yu-Chung Chiang

“…Population genetic structure analyses were conducted using three complementary Bayesian clustering approaches (STRUCTURE, InStruct, and GENELAND) to ensure robust identification of distinct genetic clusters in three key habitats (CHA, DAWU, and DL). …”
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Spatiotemporal analysis of the association between residential eviction and fatal overdose in Rhode Island by Jennifer Ahern, Magdalena Cerdá, William C Goedel, Elizabeth A Samuels, Yu Li, Alexandria Macmadu, Benjamin D Hallowell, Kathryn M Leifheit, Alexandra Skinner, Victoria Jent, Bennett Allen, Abigail R Cartus, Claire Pratty, Brandon DL Marshall

“…We sought to evaluate the spatiotemporal relationship between neighbourhood-level residential eviction rates and overdose mortality in Rhode Island (RI) before and during a statewide eviction moratorium in response to COVID-19.Methods We conducted an ecological study at the census tract level in RI (N=240) by modelling the association between quintiles of eviction rates and fatal overdose rates from 2016 to 2021. We applied a Bayesian spatiotemporal approach using an integrated nested Laplace approximation and adjusted for an a priori determined set of time-varying demographic and policy covariates.Results Descriptively, we observed a direct, dose–response relationship between quintiles of eviction incidence rates over the full study period and fatal overdose. …”
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