Results 181 to 190 of about 371,316 (301)

Indirect comparison of SGLT2 inhibitors in patients with established heart failure: evidence based on Bayesian methods. [PDF]

ESC Heart Fail, 2023
Chen HB, Yang YL, Meng RS, Liu XW.
europepmc   +1 more source

Copula Approximate Bayesian Computation Using Distribution Random Forests

Ongoing modern computational advancements continue to make it easier to collect increasingly large and complex datasets, which can often only be realistically analyzed using models defined by intractable likelihood functions.
George Karabatsos
core   +1 more source

Understanding the Catalytic Determinant role of Diaphorase‐Like Subunit in Formate Dehydrogenases via Redox Couples

Advanced Science, EarlyView.
A unique mechanism of catalytic bias regulated by diaphorase‐like subunit in formate dehydrogenase from Rhodobacter aestuarii is revealed. The diaphorase‐like subunit functions act as a biological “voltage rheostat” that controls the slow release of NADH to regulate redox balance, biasing the enzyme's catalytic preference toward CO2 reduction over ...
Kuncheng Zhang, Weisong Liu, Hao Su, Huijuan Cui, Yuanming Wang, Zhiguang Zhu, Chun You, Lingling Zhang   +7 more
wiley   +1 more source

Prediction and monitoring of accrual and rate of underrepresented biomedical research group using bayesian methods. [PDF]

BMC Med Res Methodol
Nimkar KS, Gajewski BJ, Mudaranthakam DP, Thompson JA, Handke ME, Montgomery RN, Ojo AO.   +6 more
europepmc   +1 more source

BEXCIS: Bayesian methods for estimating the degree of the skewness of X chromosome inactivation. [PDF]

BMC Bioinformatics, 2022
Yu WY, Zhang Y, Li MK, Yang ZY, Fung WK, Zhao PZ, Zhou JY.   +6 more
europepmc   +1 more source

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source

A systematic review of sample size determination in Bayesian randomized clinical trials: full Bayesian methods are rarely used. [PDF]

BMC Med Res Methodol
Marks Y, Cunningham J, Jiang A, Li L, Lin YS, McGrory A, Ouyang Y, Tran NA, Wang Y, Heath A.   +9 more
europepmc   +1 more source

Spatio-temporal variations in neonatal mortality rates in Ghana: An application of hierarchical Bayesian methods. [PDF]

PLOS Glob Public Health, 2022
Kwami Takramah W, Dwomoh D, Aheto JMK.
europepmc   +1 more source

Machine Learning‐Driven Prediction of Microplastic Aging Processes and Environmental Risk Assessment Across Multi‐Media Systems

Advanced Science, EarlyView.
This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu, Xinran Qiu, Xing Li, Tianhuan Yang, Xuetao Guo, Hao Qiu, Peng Zhang   +6 more
wiley   +1 more source

Estimation of Lockdowns' Impact on Well-Being in Selected Countries: An Application of Novel Bayesian Methods and Google Search Queries Data. [PDF]

Int J Environ Res Public Health, 2022
Drachal K, González Cortés D.
europepmc   +1 more source