Survey sampling and estimation methods form the cornerstone of modern statistical inference, underpinning research across the social, medical, and natural sciences. At their heart, these methods ...

It's said that statistics don't lie, but they often don't tell the whole truth, either. A Cornell statistics expert has come up with a method he believes can boost statistical power and significantly ...

Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models ...

Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...

Predictive risk scores created using administrative claims and publicly available social determinants of health data strongly ...

Introduction Cigarette smoking continues to exert a major impact on morbidity and mortality. We aim to provide robust ...

Background: Cost-related prescription nonadherence is a prominent barrier that may affect health outcomes in Black ...

Background: Although severe maternal morbidity (SMM), such as severe hemorrhage and sepsis, can occur from conception to 6 ...

A research team reveals that the capacity of paddy soils to release plant-available nitrogen varies sharply between China’s ...

Background People have come to rely on restaurants and takeaway foods, and less on cooking at home. We examined the ...