To evaluate the clinical effectiveness of a Bayesian-based anti-scalping mechanism integrated into a hospital appointment system in improving fairness, efficiency, and patient accessibility while ...
In a new draft guidance issued on January 14, 2026, the FDA discussed the use of a modern statistical methodology in clinical trials designed to show the effectiveness of a new drug. The guidance, ...
POMPANO BEACH, Fla., Feb. 03, 2026 (GLOBE NEWSWIRE) -- BioStem Technologies, Inc. (OTC: BSEM), a leading MedTech company focused on the development, manufacturing, and commercialization of perinatal ...
Abstract: Efficient diagnosis, treatment planning, and patient care requires that brain tumors in MRI images must be accurately segmented and classified. Many deep learning practices are used to ...
Invasive species are among the leading threats to forests across North America. Among them, the spongy moth and Douglas-fir tussock moth are responsible for extensive damage to forests from coast to ...
In the wake of the replication crisis, statistical power has become one of the central issues in debates about the quality of research. The widespread use of tests with low power is seen as a key ...
Abstract: In statistical classification/multiple hypothesis testing and machine learning, a model distribution estimated from the training data is usually applied to replace the unknown true ...
ABSTRACT: This study explores the application of Bayesian econometrics in policy evaluation through theoretical analysis. The research first reviews the theoretical foundations of Bayesian methods, ...
While the majority of stroke researchers use frequentist statistics to analyze and present their data, Bayesian statistics are becoming more and more prevalent in stroke research. As opposed to ...
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