Discover how the S&P 500 Index performed in 2024 and what that could mean for the first quarter of 2025 according to Barclays ...

This is a useful study that adds new data to how different DAG pools influence cellular signaling, and dissects how the enzyme Dip2 modulates the minor lipid signaling DAG pool, which is distinct from ...

This important work substantially advances our understanding of episodic memory by proposing a biologically plausible mechanism through which hippocampal barcode activity enables efficient memory ...

Objective Juvenile SLE (jSLE) is an autoimmune disease characterised by the presence of high levels of autoantibodies, ...

Introduction The impact of sex on coronary artery disease prognosis is debated. It has been postulated that women receive ...

The most common correlation coefficient, generated by the Pearson product-moment correlation, measures the linear relationship between two variables. However, in a nonlinear relationship ...

When Adam Pearson was young, he rubbed elbows with celebrities. “I was at Great Ormond Street Children’s Hospital, one of the best pediatric institutes in the world,” he recalls of the ...

R package to compute Pearson correlation and mutual information theory outputs for multiple variables association study. Final outputs include a Pearson contingence heatmap, a theory information ...

A new study examines the correlation between fish yield and live coral habitats. Researchers analyzed the yields of nine fisheries dependent on Australia's Great Barrier Reef from 2016 to 2020.

The Pearson correlation coefficient is the most common way of measuring a linear correlation between two variables. The researchers found that strong anti-correlation alone could easily decide if ...

The chief constable of Essex Police has defended the way his officers handled the investigation into Allison Pearson, the Telegraph journalist, insisting they had behaved “proportionately ...

Most of us have heard the phrase "correlation does not equal causation." But understanding how scientists move beyond identifying correlations to establish causation remains a mystery to many.