Bayesian random-effects NMAs estimated odds ratios (ORs) with 95% credible intervals (CrIs), complementary frequentist NMAs provided 95% confidence intervals and 95% prediction intervals. Results: ...

This is a brand new hybrid online course developed by methods and statistics experts in Cochrane. Designed for healthcare professionals, researchers, policy makers, and guideline developers, the ...

Abstract: In this study, a Bayesian network method was utilized to establish a Bayesian network model, determine the relative importance of key influencing factors of the old residential communities ...

Cross-sectional network analysis was employed to explore the complex relationships between depression, anxiety, insomnia, somatic symptoms, childhood trauma, self-esteem, social support, and emotional ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...

The rapid expansion of higher education has introduced new safety challenges in university laboratories, where fire incidents now represent a critical threat to campus safety. In this paper, we ...

ABSTRACT: This study presents an integrated Multi-Criteria Decision-Making (MCDM) framework for sustainable landfill site selection in Chegutu Municipality, Zimbabwe. Combining the Analytical ...

Synthetic dataset outputs for public analysis without privacy risk. Part of my current workflow as survey leader of the Data Engineering Pilipinas group. Comparable distributions per column: based on ...

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This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not include a full text component.