A Bayesian model was employed for the analysis, and heterogeneity was quantified using random-effects standard deviation (RESD), τ ², and I² statistics. The certainty of the synthesized evidence was ...

Network meta-analysis (NMA) is an increasingly popular statistical method of synthesising evidence to assess the comparative benefits and harms of multiple treatments in a single analysis. Several ...

The Bayesian multi-trait multi-environments approach (BMTME) combines the cited advantages with the parsimony of Bayesian statistics promoting a more informative data analysis. Thus, the aims of this ...

Frequentist and Bayesian statistics represent two differing paradigms for the analysis of data. Frequentism became the dominant mode of statistical thinking in medical practice during the 20th century ...

Electric vertical takeoff and landing (EVTOL) aircraft have high power and energy requirements that must be understood throughout their batteries’ life. Using a fast electrochemical model and high ...

Fault detection and diagnosis (FDD) is crucial for dynamic process safety analysis. Integrated with failure prediction models, it enables us to realize how a deviation in process variable(s) can ...

Furthermore, a Bayesian network (BN) was applied to dynamic causation analysis and risk inference for high-risk subway construction accidents. We hope this study will be conducive to reducing the ...

Engineering managers need technical training and business expertise. Learn how an engineering management degree equips graduates for these roles.