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BMC Medical Research Methodology|February 13, 2025
A doubly robust estimator for continuous treatments in high dimensionsQian Gao, Jiale Wang, Ruiling Fang, et al.BMC Medical Research Methodology|December 23, 2024
Identifying the presence of atrial fibrillation during sinus rhythm using a dual-input mixed neural network with ECG coloring technologyWei-Wen Chen, Chih-Min Liu, Chien-Chao Tseng, et al.BMC Medical Research Methodology|December 20, 2024
Partial-linear single-index Cox regression models with multiple time-dependent covariatesMyeonggyun Lee, Andrea B Troxel, Sophia Kwon, et al.BMC Medical Research Methodology|December 21, 2024
The analysis and reporting of multiple outcomes in mental health trials: a methodological systematic reviewDominic Stringer, Mollie Payne, Ben Carter, et al.BMC Medical Research Methodology|December 28, 2024
The necessity of validity diagnostics when drawing causal inferences from observational data: lessons from a multi-database evaluation of the risk of non-infectious uveitis among patients exposed to Remicade®James Weaver, Erica A Voss, Guy Cafri, et al.BMC Medical Research Methodology|December 19, 2024
A modified and weighted Gower distance-based clustering analysis for mixed type data: a simulation and empirical analysesPinyan Liu, Han Yuan, Yilin Ning, et al.BMC Medical Research Methodology|December 20, 2024
Detecting cardiovascular diseases using unsupervised machine learning clustering based on electronic medical recordsYing Hu, Hai Yan, Ming Liu, et al.BMC Medical Research Methodology|January 28, 2025
Artificial intelligence methods applied to longitudinal data from electronic health records for prediction of cancer: a scoping reviewVictoria Moglia, Owen Johnson, Gordon Cook, et al.BMC Medical Research Methodology|January 28, 2025
Penalized landmark supermodels (penLM) for dynamic prediction for time-to-event outcomes in high-dimensional dataAnya H Fries, Eunji Choi, Summer S HanBMC Medical Research Methodology|January 25, 2025
Construction of the cancer patients' database based on the US National Health and Nutrition Examination Survey (NHANES) datasets for cancer epidemiology researchJinyoung Moon, Yongseok MunPageof 396