Disease combinations are often unique – anonymization of health data is therefore particularly complex. An interview on ...

Introduction The global evidence base on intimate partner violence (IPV) prevalence and risk factors is predominantly cross-sectional, limiting clarity in changes over time. Prospective cohort data ...

The following information was released by the Federal Reserve Bank of Atlanta:. In preparation for FOMC meetings, policymakers have the Fed Board staff projection of this "advance" estimate at their ...

BlackEconomics.org® In BlackEconomics.org’s December 13, 2025, release entitled “Reasons for Black American Leadership ...

This book's organization : read me first! -- Introduction : models we believe in -- What is this stuff called probability? -- Bayes' rule -- Inferring a binomial proportion via exact mathematical ...

Holly Cummins gave a keynote at Goto Copenhagen where she urged developers to care about overlooked issues that shape their ...

This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...

Neuronal responses in cortical area MT to two speeds show a robust bias toward the faster speed when stimulus speeds are slow, which could benefit figure-ground segregation in natural scenes.

This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...

As an editor and writer who has contributed to many national and local publications, Nicole Gregory enjoys communicating clearly on critical health topics so that readers can make informed choices for ...

Half advice show. Half survival guide. Half absurdity-fest. (Wait, how does this work again? We're not numbers people.) Each episode, we answer all your burning questions, from how to survive a public ...

Decision-making inherently involves cause–effect relationships that introduce causal challenges. We argue that reliable algorithms for decision-making need to build upon causal reasoning. Addressing ...