Serum metabolome associated with novel and legacy per- and polyfluoroalkyl substances exposure and thyroid cancer risk: A multi-module integrated analysis based on machine learning by Fei Wang, Yuanxin Lin, Lian Qin, Xiangtai Zeng, Hancheng Jiang, Yanlan Liang, Shifeng Wen, Xiangzhi Li, Shiping Huang, Chunxiang Li, Xiaoyu Luo, Xiaobo Yang

“…The mixed exposure effects were assessed using Weighted quantile sum regression and Bayesian kernel machine regression. Metabolome-wide association analyses were performed to assess metabolic dysregulation associated with PFAS, and a structural synthesis analysis was used to detect latent groups of individuals with TC based on PFAS levels and metabolite patterns. …”
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Modulation effects of folic acid and vitamin D on the relationships between prenatal cumulative phthalate exposure and preschoolers’ emotional and behavioral problems by Li-wen Chen, Xin Chen, Chen Han, Bei-bei Zhu, Yi-fan Wang, Yuan Liu, Min-min Jiang, Ya-fei Wang, Chun-han Shan, Hua-yan Mo, Kun Huang, Hui Gao, Fang-biao Tao

“…Quantile g-computation and Bayesian kernel machine regression were applied to analyze the effect of prenatal cumulative phthalate exposure. …”
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Effect of exposure to environmental phenols and parabens on folate concentrations among 3–19 years old children and adolescents: A cross-sectional study in NHANES 2005–2016 by Meng Ni, Zhenying Lin, Ze Chen, Ziwen Xu, Qianqian Zhang, Jiuru Zhao, Wei Li, Yanan Tang, Zelin Cao, Baihe Li, Dongting Yao, Chunyu Cheng, Yi Hu, Xiaorui Liu, Jiji Chen, Zhiwei Liu

“…Since many pollutants are co-exposed congeners, with interactive effects between pollutants, we employed multivariate linear regression model, weighted quantile sum regression, and Bayesian kernel machine regression (BKMR) to quantify the impact of folate levels in serum and red blood cell (RBC) and the overall effects of combined exposures. …”
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Adherence to a digital therapeutic mediates the relationship between momentary self-regulation and health risk behaviors by Enzo G. Plaitano, Enzo G. Plaitano, Daniel McNeish, Sophia M. Bartels, Sophia M. Bartels, Kathleen Bell, Jesse Dallery, Michael Grabinski, Michaela Kiernan, Hannah A. Lavoie, Hannah A. Lavoie, Shea M. Lemley, Michael R. Lowe, David P. MacKinnon, Stephen A. Metcalf, Stephen A. Metcalf, Lisa Onken, Judith J. Prochaska, Cady Lauren Sand, Cady Lauren Sand, Emily A. Scherer, Luke E. Stoeckel, Haiyi Xie, Lisa A. Marsch

“…Medical regimen adherence was assessed as daily Laddr usage. Bayesian dynamic mediation models were used to examine moment-to-moment mediation effects between momentary self-regulation subscales, medical regimen adherence, and behavioral outcomes.ResultsIn the binge eating disorder sample, the perseverance [β1 = 0.17, 95% CI = (0.06, 0.45)] and emotion regulation [β1 = 0.12, 95% CI = (0.03, 0.27)] targets of momentary self-regulation positively predicted Laddr adherence on the following day, and higher Laddr adherence was subsequently a positive predictor of steps taken the same day for both perseverance [β2 = 0.335, 95% CI = (0.030, 0.717)] and emotion regulation [β2 = 0.389, 95% CI = (0.080, 0.738)]. …”
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Risk of aortic aneurysm or dissection following use of fluoroquinolones: a retrospective multinational network cohort studyResearch in context by Jack L. Janetzki, Jung Ho Kim, Evan Minty, Jung Ah Lee, Daniel R. Morales, Rohan Khera, Chungsoo Kim, Thamir M. Alshammari, Scott L. DuVall, Michael E. Matheny, Thomas Falconer, Seonji Kim, Thanh-Phuc Phan, Phung-Anh Nguyen, Min-Huei Hsu, Jason C. Hsu, Rae Woong Park, Kenneth K.C. Man, Sarah Seager, Mui Van Zandt, James P. Gilbert, Patrick B. Ryan, Martijn J. Schuemie, Marc A. Suchard, George Hripcsak, Nicole Pratt, Seng Chan You

“…Hazard ratios (HRs) were pooled using Bayesian random-effects meta-analysis. Findings: Among analyses that passed diagnostics there were 1,954,798 and 1,195,962 propensity-matched pairs for the FQ versus TMP and FQ versus CPH comparisons respectively. …”
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Genetic and environmental contribution to phenotypic resemblance between Iranian couples: Tehran Cardiometabolic and Genetic Study (TCGS) by Parisa Riahi, Amir Hossein Saeidian, Albert Tenesa, Carolyn T. Hogan, Michael March, Kamran Guity, Mahmoud Amiri Roudbar, Asieh Zahedi, Maryam Zarkesh, Farideh Neshati, Mehdi Hedayati, Fereidoun Azizi, Hakon Hakonarson, Maryam S. Daneshpour, Mahdi Akbarzadeh

“…A subset of 1038 spouses out of 2315 couples were subsequently selected to enter the longitudinal resemblance, to be assessed in terms of their anthropometric traits and lipid serum levels in a 15-year follow-up. We conducted a Bayesian hierarchical meta-analysis for each time point to assess the validity of the increasing trend of the longitudinal association. …”
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Adverse events in the nervous system associated with blinatumomab: a real-world study by Wen Gao, Jingwei Yu, Yifei Sun, Zheng Song, Xia Liu, Xue Han, Lanfan Li, Lihua Qiu, Shiyong Zhou, Zhengzi Qian, Xianhuo Wang, Huilai Zhang

“…The reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence interval progressive neural network (BCPNN), and multi-item gamma Poisson shrinker (MGPS) algorithms were utilized for data mining. …”
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From plants to patterns: Constructing a comprehensive online strontium isoscape for Belgium (IsoBel) using high density grid mapping by Amanda Sengeløv, Giacomo Capuzzo, Sarah Dalle, Hannah F. James, Charlotte Sabaux, Elisavet Stamataki, Marta Hlad, Carina T. Gerritzen, Emma M. Legrand, Barbara Veselka, Guy De Mulder, Rica Annaert, Mathieu Boudin, Kevin Salesse, Eugène Warmenbol, Nadine Mattielli, Christophe Snoeck, Martine Vercauteren

“…The high-density plant sampling approach employed in this study allowed for enhanced spatial resolution and improved accuracy in the predictive surfaces for bioavailable 87Sr/86Sr created by Empirical Bayesian Kriging (EBK). These findings provide valuable insights into the geographic distribution of strontium isotopes within Belgium and offer a foundation for future studies in archaeology, ecology, environmental studies, food sciences and forensics. …”
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Gestational exposure to environmental chemical mixtures and cognitive abilities in children: A pooled analysis of two North American birth cohorts by Jagadeesh Puvvula, Wei-Ting Hwang, Lawrence McCandless, Changchun Xie, Joseph M. Braun, Ann M. Vuong, Youssef Oulhote, Enrique F. Schisterman, Russell T. Shinohara, Linda Booij, Maryse F. Bouchard, Kristin Linn, Michael M. Borghese, Jean R. Seguin, Angelika Zidek, Christine Till, William Fraser, Kimberly Yolton, Kim M. Cecil, Jillian Ashley-Martin, Tye E. Arbuckle, Bruce Lanphear, Aimin Chen

“…We assessed linear associations using quantile g-computation and non-linear associations using Bayesian Kernel Machine Regression (BKMR) methods, adjusted for covariates. …”
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Association between plasma perfluoroalkyl substances and high-grade serous ovarian cancer overall survival: A nested case-control study by Wei-Yi Xing, Fang-Hua Liu, Dong-Dong Wang, Jia-Ming Liu, Wen-Rui Zheng, Jia-Xin Liu, Lang Wu, Yue-Yang Zhao, He-Li Xu, Yi-Zi Li, Yi-Fan Wei, Dong-Hui Huang, Xiao-Ying Li, Song Gao, Qi-Peng Ma, Ting-Ting Gong, Qi-Jun Wu

“…To elucidate the combined effects, Bayesian kernel machine (BKMR), and regression quantile g-computation (QGC) models were utilized. …”
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I-SPY COVID adaptive platform trial for COVID-19 acute respiratory failure: rationale, design and operations by Carolyn S Calfee, Michael A Matthay, Paul Henderson, Martin Eklund, Laura J Esserman, Chirag Patel, Angela Haczku, Michelle Jung, Tony Oliver, Alessio Crippa, Andrea Discacciati, Kathleen D Liu, Ellen L Burnham, Nuala J Meyer, Fady A Youssef, Derek W Russell, Julie Lang, Kevin W Gibbs, Daniel C Files, Sheetal Gandotra, Purnema Madahar, Nathan K Cobb, Timothy E Albertson, Rajiv Sonti, John P Reilly, Alejandra Jauregui, Iván García, Luis E Huerta, Daniel Clark Files, Neil R Aggarwal, Adam L Asare, Jeremy R Beitler, Paul A Berger, George Cimino, Melissa H Coleman, Paul T Henderson, Caroline A G Ittner, Kashif T Khan, Jonathan L Koff, Mary LaRose, Joe Levitt, Ruixiao Lu, Jeffrey D McKeehan, Karl W Thomas, Aaron M Mittel, Albert F Yen, Alexis E Suarez, Alexis L Serra, Alpesh N Amin, Amanda Rosen, Amy L Dzierba, Anna D Barker, Ariel R Weisman, Brian M Daniel, Brian M Morrissey, Caroline AG Ittner, Chayse Jones, Christina Creel-Bulos, Christina M Angelucci, Diana Ng, Fredy Chaparro-Rojas, Gavin H Harris, Harsh V Barot, Heny Su, Jacqueline B Sutter, Jamal Dodin, Jerry S Lee, John Kazianis, Joshua F Detelich, Julie E Lang, Justin Muir, Katarzyna Gosek, Katherine L Nugent, Kimberly Yee, Laura G Rodrigues, Laura R Macias, Lindsey A Orr, Lindsie L Boerger, Lissette Rosario-Remigio, Lucia Kufa, Maged Tanios, Maria B Reyes, Max W Adelman, Maya M Juarez, Michelle Meyers, Mitchell P Sternlieb, Neil Aggarwal, Nilam S Mangalmurti, Patrice Jones, Paul L Saban, Peter S Marshall, Philiip A Robinson, Philip Yang, Rahul Nair, Richard Anthony Lee, Richard G Wunderink, Romina Wahab, Roxana A Lupu, Santhi I Kumar, Sara C Auld, Scott Fields, Se Fum Wong, Skyler J Pearson, Spencer Whealon, Timothy F Obermiller, Anita Darmanian, John Schicchi, Esmeralda Martinez, Farjad Sarafian, Julie Nguyen, Bethany Weiler-Lisowski, Jaime Wyatt, Daniel Blevins, Marylee Melendrez, Brenda Lopez, Hiwet Tzehaie, Omowunmi Amosu, Austin Simonson, Erin Hardy, Brett Lindgren, Gregory Peterfreund, Leigha Landreth, Lisa Parks

“…The statistical design uses a Bayesian model with ‘stopping’ and ‘graduation’ criteria designed to efficiently discard ineffective therapies and graduate promising agents for definitive efficacy trials. …”
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Antiviral efficacy of fluoxetine in early symptomatic COVID-19: an open-label, randomised, controlled, adaptive platform trial (PLATCOV)Research in context by Podjanee Jittamala, Simon Boyd, William H.K. Schilling, James A. Watson, Thundon Ngamprasertchai, Tanaya Siripoon, Viravarn Luvira, Elizabeth M. Batty, Phrutsamon Wongnak, Lisia M. Esper, Pedro J. Almeida, Cintia Cruz, Fernando R. Ascencao, Renato S. Aguiar, Najia K. Ghanchi, James J. Callery, Shivani Singh, Varaporn Kruabkontho, Thatsanun Ngernseng, Jaruwan Tubprasert, Wanassanan Madmanee, Kanokon Suwannasin, Amornrat Promsongsil, Borimas Hanboonkunupakarn, Kittiyod Poovorawan, Manus Potaporn, Attasit Srisubat, Bootsakorn Loharjun, Walter R.J. Taylor, Farah Qamar, Abdul Momin Kazi, M. Asim Beg, Danoy Chommanam, Sisouphanh Vidhamaly, Kesinee Chotivanich, Mallika Imwong, Sasithon Pukrittayakamee, Arjen M. Dondorp, Nicholas P.J. Day, Mauro M. Teixeira, Watcharapong Piyaphanee, Weerapong Phumratanaprapin, Nicholas J. White

“…Measurements were taken daily between days 0 and 7 and analysed in a modified intention-to-treat population (>2 days follow-up).The viral clearance rate was estimated under a Bayesian hierarchical linear model fitted to the log10 viral densities measured in standardised duplicate oropharyngeal swab eluates taken daily over one week (18 measurements per patient). …”
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