Synthetic data is a vital substitute for real sensitive personal data in supporting social science research and policy ...

Huskies in Michigan Tech's statistics bachelor's degree program don't just participate in impactful research, they take the ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

UK trade: goods and services publication tables Dataset | Released 12 June 2026 Monthly data on the UK's trade in goods and services, including trade inside and outside the EU. This replaces our ...

Megan Cerullo is a New York-based reporter for CBS MoneyWatch covering small business, workplace, health care, consumer spending and personal finance topics. She regularly appears on CBS News 24/7 to ...

Many multi-population polygenic risk score (PRS) methods have been proposed to improve prediction in underrepresented populations; however, no single method performs best across all scenarios.

Announcing a new article publication for Cardiovascular Innovations and Applications journal. Cardiovascular disease develops through gradual accumulation of risk factors and progressive vascular ...

Discover how event studies assess the impact of significant events on stock values and enhance investment strategies through empirical analysis techniques.

Abstract: Global navigation satellite system (GNSS) signal outages severely degrade vehicle integrated navigation accuracy, with positioning errors reaching tens of meters in environments, such as ...

Abstract: Edge detection is a critical technology in processing potential field data, enabling the rapid identification of geological body edges using magnetic anomaly data. Traditional methods for ...

Introduction Sepsis is a life-threatening condition in intensive care units (ICUs), where any delay in diagnosis and treatment can lead to organ dysfunction, prolonged hospital stay and increased ...