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 ...

Robbie has been an avid gamer for well over 20 years. During that time, he's watched countless franchises rise and fall. He's a big RPG fan but dabbles in a little bit of everything. Writing about ...

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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 ...

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

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