New statistical tool helps researchers cut through complex environmental data

Scientists have developed a streamlined analytical method to untangle massive environmental datasets—a common headache for regulators and companies tracking pollution, climate impacts, and health risks. The technique could speed up decision-making by making it easier to identify which factors actually matter when dozens of variables are at play.

Originaltitel: Reducing the complexity of high-dimensional environmental data: An analytical framework using LASSO with considerations of confounding for statistical inference