Associations between brominated flame retardants exposure and non-alcoholic fatty liver disease: Mediation analysis in the NHANES by Yulan Cheng, Jingyi Su, Xiangdong Wang, Ruiyao Huang, Zixuan Zhao, Kai Tian, Tianxiang Gu, Xiaoke Wang, Lin Chen, Xinyuan Zhao

“…The quantile-based g-computation (QGC), weighted quantile sum (WQS) regression, and Bayesian kernel machine regression (BKMR) were applied to evaluate the overall correlation of BFRs mixtures with NAFLD and identify significant compounds. …”
Get full text

Durvalumab and tremelimumab in combination with metronomic oral vinorelbine for recurrent advanced cervical cancer: an open-label phase I/II study by Pernelle Lavaud, Esma Saada-Bouzid, Renaud Sabatier, Olivia Le Saux, Thibault de la Motte Rouge, Anthony Gonçalves, Elodie Coquan, Jean-Sébastien Frenel, Marta Jiménez, Alice Hervieu, Laurent Mathiot, François Legrand, Claire Cropet, Edith Borcoman, Emmanuelle Charafe

“…The primary efficacy endpoint was the clinical benefit rate (CBR) based on the Response Evaluation Criteria in Solid Tumors V.1.1, which was analyzed using a Bayesian approachResults A total of 31 patients were enrolled and treated in the cervical cancer cohort. …”
Get full text

Global temporal trends and projections of hepatitis B-related cirrhosis among adolescents and young adults from 1990 to 2035: an analysis based on the global burden of disease stud... by Quanwei He, Quanwei He, Quanwei He, Xiujuan Chang, Ran Xu, Ran Xu, Wei Han, Wei Han, Sihao Wang, Sihao Wang, Shujuan Gong, Shujuan Gong, Jiagan Huang, Jiangtao Liu, Rugang Zhang, Yongping Yang, Yongping Yang, Yongping Yang

“…Temporal trends were assessed using joinpoint regression analysis, while the Bayesian age-period-cohort model was used to predict future trends.ResultsFrom 1990 to 2021, the global incidence rate of hepatitis B-related cirrhosis decreased from 111.33 (95% uncertainty interval: 89.18 to 134.98) to 67.75 (54.06 to 82.71) per 100,000 with an average annual percentage change of −1.58 (95% confidence interval: −1.66 to −1.51, p < 0.001). …”
Get full text

Blood-based epigenome-wide association study and prediction of alcohol consumption by Elena Bernabeu, Aleksandra D. Chybowska, Jacob K. Kresovich, Matthew Suderman, Daniel L. McCartney, Robert F. Hillary, Janie Corley, Maria Del C. Valdés-Hernández, Susana Muñoz Maniega, Mark E. Bastin, Joanna M. Wardlaw, Zongli Xu, Dale P. Sandler, Archie Campbell, Sarah E. Harris, Andrew M. McIntosh, Jack A. Taylor, Paul Yousefi, Simon R. Cox, Kathryn L. Evans, Matthew R. Robinson, Catalina A. Vallejos, Riccardo E. Marioni

“…Finally, we identified two novel CpG loci via a Bayesian penalized regression epigenome-wide association study of alcohol consumption. …”
Get full text

Strategies to Promote ResiliencY (SPRY): a randomised embedded multifactorial adaptative platform (REMAP) clinical trial protocol to study interventions to improve recovery after s... by Derek C Angus, Jennifer Holder-Murray, Katherine Moll Reitz, Christopher W Seymour, Jennifer Vates, Melanie Quintana, Kert Viele, Michelle Detry, Michael Morowitz, Alison Morris, Barbara Methe, Jason Kennedy, Brian Zuckerbraun, Timothy D Girard, Oscar C Marroquin, Stephen Esper, Anne B Newman, Scott Berry, Matthew Neal

“…The primary outcome is 90-day hospital-free days. Bayesian posterior probabilities guide interim decision-making with predefined rules to determine stopping for futility or superior dosing selection. …”
Get full text

Genome-wide association mapping of biochemical traits and its correlation with MYMIV resistance in mungbean (Vigna radiata L. Wilczek) by Manju Kohli, Hina Bansal, Muraleedhar Aski, Gyan P. Mishra, B. R. Shashidhar, Anirban Roy, Soma Gupta, Subodh K. Sinha, Brijesh Kumar Mishra, Nikki Kumari, Atul Kumar, Ranjeet Ranjan Kumar, Ramakrishnan M. Nair, Harsh Kumar Dikshit

“…MLM (Mixed Linear Model) and BLINK (Bayesian-information and Linkage-disequilibrium Iteratively Nested Keyway) models have identified 119 shared SNPs for various biochemical traits and MYMIV resistance. …”
Get full text

A network analysis of depression and anxiety symptoms among Chinese elderly living alone: based on the 2017–2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS) by Ze Chang, Yunfan Zhang, Xiao Liang, Yunmeng Chen, Chunyan Guo, Xiansu Chi, Liuding Wang, Xie Wang, Hong Chen, Zixuan Zhang, Longtao Liu, Lina Miao, Yunling Zhang

“…To minimize spurious correlations, the Least Absolute Shrinkage and Selection Operator (LASSO) method was applied for regularization, and the optimal regularization parameters were selected using the Extended Bayesian Information Criterion (EBIC). We further calculated Expected Influence (EI) and Bridge Expected Influence (Bridge EI) to evaluate the importance of symptoms. …”
Get full text

Evidence linking phthalate exposure to alterations of hematologic parameters in Chinese children: A cross-sectional study by Mei-Ting Wei, Ying Wen, Zhu-Xia Zhang, Xiu-Ju Liu, Feng-Xiang Wei, Wei-Qiang Liu, Li Zhou, Ding-Yan Chen, Yao Yao

“…To evaluate the connections between mPAEs and hematologic indices, both individually and in combination, several analytical approaches were used, including the generalized linear model (GLM), the Bayesian kernel machine regression (BKMR) model, and the quantile g-computation (QGC) model. …”
Get full text

Burden of alopecia areata in China, 1990–2021: Global Burden of Disease Study 2021 by Xiangqian Li, Huixin Liu, Wenhui Ren, Qijiong Zhu, Peng Yin, Lijun Wang, Jianzhong Zhang, Jinlei Qi, Cheng Zhou, Lishao Guo

“…We analyzed the epidemiological burden of AA in China during 2021, examined changes between 1990 and 2021, and performed a Bayesian age–period–cohort analysis to predict trends over the course of the next decade (2022–2030). …”
Get full text

Designing a Model for Credit Risk Assessment of Customers for Guarantees Issued by the Export Guarantee Fund of Iran via Artificial Neural Network Model by Farshid Ahmadi Sartakhti, Kambiz Hojabr Kiani, Seyed Shamsoddin Hoseini, Abbas Memarnejad

“…ResultsBased on the neural network model, the best models were extracted with three methods: Bayesian, Levenberg, and Conjugate Gradient, and with one to 30 neurons in the hidden layer. …”
Get full text

Needs for rehabilitation in China: Estimates based on the Global Burden of Disease Study 1990–2019 by Tian Tian, Lin Zhu, Qingzhen Fu, Shiheng Tan, Yukun Cao, Ding Zhang, Mingxue Wang, Ting Zheng, Lijing Gao, Daria Volontovich, Yongchen Wang, Jinming Zhang, Zhimei Jiang, Hongbin Qiu, Fan Wang, Yashuang Zhao, Rongman Jia

“…Projections of rehabilitation needs were made until 2034 using Bayesian age–period–cohort analysis (BAPC). Results:. …”
Get full text

Protocol of the Nutritional, Psychosocial, and Environmental Determinants of Neurodevelopment and Child Mental Health (COINCIDE) study [version 2; peer review: 2 approved] by Eunice Lobo, Jyothi S. Menon, Deepa R., Supriya Bhavnani, Onno CP van Schayck, Shweta Dixit, Prashanth Nuggehalli Srinivas, Aditi Roy, Sumathi Swaminathan, Ruby Gupta, Poornima Prabhakaran, Prashanth Thankachan, Giridhara Rathnaiah Babu, Debarati Mukherjee, Siddhartha Mandal, Gauri Divan

“…Multilevel regression, weighted quantile sum regression, and Bayesian kernel machine regression will assess the individual and combined effects of exposures on child outcomes. …”
Get full text

Prenatal exposure to a mixture of organophosphate ester and organophosphorus pesticides in relation to child neurodevelopment in the Shanghai Birth Cohort by Hui Wang, Dezheng Fu, Xiaoning Liu, Xiaochen Chang, Siyu Guo, Xiaomeng Cheng, Ying Tian, Jinjun Ran, Jun Zhang, Shengju Yin

“…We utilized multivariable linear regression and Bayesian kernel machine regression (BKMR) to estimate associations with individual and mixture component, respectively. …”
Get full text

Is intense exercise bad for your mind? Subjective, behavioral and physiological responses to a cognitive effort to failure by Darías Holgado, Ludovic Leubaz, Paolo Ruggeri, Guillermo Borragan, Antonio Luque-Casado, Tristan Bekinschtein, Daniel Sanabria, Nicolas Place

“…., 2022). Sequential Bayesian analysis for the main hypothesis (intense physical exercise reduces cognitive task performance) until it reached strong evidence in favor of the alternative hypothesis (BF10 > 6), or the null hypothesis (BF10 < 1/6) were conducted. …”
Get full text

Application of various canopy resistance calculation methods in vineyard evapotranspiration simulation at daily scale in Northwest China by Jingying Zhang, Dianyu Chen, Xiaotao Hu, Lucheng Qiu, Shujian Wang, Xuanrong Zhu, La Zhuo, Dongyan Zhang, Linzhe Wu, Linlin Zhang

“…The model parameter optimization was based on the Bayesian method. The accuracy evaluation indicators included relative error (MRE, %), coefficient of determination (R2) and Wilmott consistency coefficient (D). …”
Get full text

Potential public health impacts of gonorrhea vaccination programmes under declining incidences: A modeling study. by Lin Geng, Lilith K Whittles, Borame L Dickens, Martin T W Chio, Yihao Chen, Rayner Kay Jin Tan, Azra Ghani, Jue Tao Lim

“…<h4>Methods and findings</h4>We employed an integrated transmission-dynamic model, calibrated using Bayesian methods to local surveillance data to understand the potential public health impact of 4CMenB in reducing gonorrhea acquisition and transmission in men who have sex with men (MSM) in Singapore. …”
Get full text

The origin and transmission of HIV-1 CRF80_0107 among two major first-tier cities in China by Xiaorui Wang, Bo Zhu, Hanping Li, Jingwan Han, Xiaolin Wang, Lei Jia, Bohan Zhang, Jingyun Li, Linding Wang, Yongjian Liu, Hongling Wen, Lin Li

“…In addition, spatiotemporal evolutionary dynamics analysis of the candidate CRF80_0107 sequences was performed via a Bayesian approach. Results A total of 36 partial pol gene sequences of HIV-1 CRF80_0107 were identified from 2009 to 2018 from 5 provinces in China. …”
Get full text

Beyond the current state of just-in-time adaptive interventions in mental health: a qualitative systematic review by Claire R. van Genugten, Claire R. van Genugten, Melissa S. Y. Thong, Melissa S. Y. Thong, Melissa S. Y. Thong, Wouter van Ballegooijen, Wouter van Ballegooijen, Wouter van Ballegooijen, Annet M. Kleiboer, Annet M. Kleiboer, Donna Spruijt-Metz, Arnout C. Smit, Mirjam A. G. Sprangers, Mirjam A. G. Sprangers, Yannik Terhorst, Yannik Terhorst, Heleen Riper, Heleen Riper, Heleen Riper

“…To accomplish this, JITAIs often apply complex analytic techniques, such as machine learning or Bayesian algorithms to real- or near-time data acquired from smartphones and other sensors. …”
Get full text

Persistent organochlorine pesticides and cardiometabolic outcomes among middle-aged Latina women in a California agricultural community: The CHAMACOS Maternal Cognition Study by Marcella Warner, Stephen Rauch, Brenda Eskenazi, Lucia Calderon, Robert B. Gunier, Katherine Kogut, Nina Holland, Weihong Guo, Julianna Deardorff, Jacqueline M. Torres

“…We included 468 women who had concentrations of organochlorine pesticides measured in serum collected in 2009–2011 and complete follow-up data in 2022–2024 (blood draw, anthropometry, personal interview). We used Bayesian hierarchical regression models (BHM) to examine the independent effects of five highly correlated pesticides with continuous and binary measures of cardiometabolic disease and inflammation. …”
Get full text

Global burden of ischemic heart disease in older adult populations linked to non-optimal temperatures: past (1990–2021) and future (2022–2050) analysis by Lihui Liu, Lihui Liu, Yisong He, Yisong He, Gang Huang, Yangxi Zeng, Yangxi Zeng, Jiaan Lu, Ru He, Haiqing Chen, Yuheng Gu, Qingwen Hu, Bin Liao, Bin Liao, Juyi Wan, Juyi Wan

“…We used age-standardized rates (ASR), annual percentage change (EAPC), and the Bayesian age-period-cohort (BAPC) model to forecast 2050. …”
Get full text