Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...
Indian American statistician to lead journal amid biosciences being transformed by powerful statistical, machine learning and ...
MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.
The Observer has compiled a list of 2025 guides, tutorials, and manuals designed to support psychological scientists as they ...
Scientists learn about the brain's inner workings by studying what animals or people do, how they move, react, and make ...
What if you could transform the way you analyze data in just 12 minutes? Picture this: a mountain of raw numbers and spreadsheets that once felt overwhelming now becomes a treasure trove of actionable ...
SCOTUSblog is excited to present an end-of-term Supreme Court Stat Pack, compiled by Jake S. Truscott and Adam Feldman, intended to provide data-driven analysis of the Supreme Court’s term and ...