This webinar introduced healthcare researchers to Bayesian meta-analysis methods, challenging the perception that these methods are inaccessible to non-statistical researchers. The session ...

China’s exit from its “dynamic zero-COVID” policy in late 2022 triggered a major Omicron wave. Our analysis of national surveillance data suggests that approximately 88% of the population was infected ...

This study provides an important computational tool for analyzing and deconvoluting a pool of plasmids sequenced without barcoding using nanopore long-read sequencing. The tool, which has been ...

We’ll pick up from the previous section on hierarchical modeling with Bayesian meta-analysis, which lends itself naturally to a hierarchical formulation, with each study an “exchangeable” unit. Let’s ...

Copyright: © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Frequentist and Bayesian ...

We use Bayesian meta-analysis methods to estimate the impact of unconditional cash transfers (UCTs). Aggregating evidence from 115 studies of 72 UCT programs in middle and low income countries, we ...

1 Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China Correspondence to Dr Jason C. Yam, Department of Ophthalmology and Visual Sciences, Faculty ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...