Background The widespread mobilisation to improve maternal health over recent decades has led to increased prenatal ...

A few years ago, experts worried about a "new normal" of elevated violent crime in the U.S. Now the country is flirting with ...

TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...

Background Despite progress in reducing global maternal mortality in recent decades, low- and lower-middle-income countries ...

Agricultural soil testing is critical to determining soil’s nutrient concentration and variability across your fields. It is ideal to test your fields’ soil at least every two to three years to inform ...

Monte Carlo sampling methods form a cornerstone of contemporary statistical inference by enabling the approximation of complex integrals and posterior distributions that defy analytical solution. At ...

As the calendar turns to 2026 (a fact I will fully accept in roughly 10.5 months), I begin my annual deep dive into the statistical realities of Utah’s real estate market over the past year. It is not ...

Abstract: Deep learning systems typically suffer from catastrophic forgetting of old knowledge when learning from new data continually. Recently, various class incremental learning (CIL) methods have ...

With statistical sampling, counsel can simplify damage analyses, avoid potential issues with incomplete or missing data, and minimize the risk of error. In our prior ...

Many healthcare providers feel that UPIC audits often fall short, with flawed sampling and extrapolation techniques that dramatically exaggerate overpayment findings, exposing providers to undue ...

Objective This study aims to assess the feasibility of respondent-driven sampling (RDS) to recruit participants with recent abortion experiences in humanitarian contexts, and describe the composition ...