Articles tagged with Descriptive Statistics
Researchers reveal that contradictory findings on territorial self-governance and ethnic civil war risk are primarily due to variations in measurement definitions. The study highlights the importance of considering the nuances of data choice in understanding conflict resolution.
A Mayo Clinic study found a widening global gap between lifespan and healthspan, with the US and women experiencing the largest disparities. The research suggests that while people are living longer, they are not necessarily living healthier lives.
The Funding Atlas 2024 shows an increase in university funding from €26.7 billion in 2022 to €28.4 billion in 2019, with third-party funding rising by 19.1% over the same period. The federal government is the largest source of third-party funding, while industry share continues to decline.
Researchers at Cornell University used novel statistical calculations to estimate the age of asteroid Selam, finding it to be 2-3 million years old. The method complements traditional crater counting and has advantages in accuracy and applicability to other binary systems.
Princeton Chemist Salvatore Torquato and astrophysicist Oliver Philcox applied statistical mechanics to find similarities in galaxy distribution across length scales. They used new descriptors to characterize structural data, revealing a correlated disorder in the spatial relationships between galaxies.
Researchers at the University of Oldenburg have developed a new statistical model that accurately describes wind turbulence and generates fully three-dimensional wind fields using limited measurement points. This breakthrough enables precise wind turbine load estimation and improves wind farm planning, with applications in various fiel...
KAUST researchers have developed a flexible statistical model to analyze environmental data, revealing niches where existing methods fall short. The study provides a new approach to modeling dependence structures, highlighting the importance of understanding model limitations and extrapolation beyond observed data.
A retrospective study found that the upgrade rate of architectural distortion on digital breast tomosynthesis (DBT) to malignancy was 10.2% for radial scars without atypia and 28.2% for those with atypia. Imaging surveillance is considered an alternative to surgery for these cases.
A new method, ONEST, was developed to assess the performance of diagnostic tests with multiple observers. The method helps determine if adding more observers causes agreement to plateau, indicating an unreliable test or a minimum number needed for stable estimation.
A recent study published in PLOS Biology found evidence of editorial bias and nepotism in some biomedical journals, where a few authors, often on the editorial board, dominate publications and receive preferential treatment.
Researchers developed three criteria to assess loss of prediction efficiency when modeling large spatial datasets. The tool, called TLR estimation method, provides insight into 'fit' of approximation parameters and prediction variability.
Ivan Corwin, a recent Ph.D. from NYU, and Jack Thorne, a Harvard University PhD candidate, were selected for their research achievements in probability, algebraic number theory, and representation theory. They will receive funding for one to five years to support their mathematical research.
Researchers controlled cell orientation on a micropatterned surface based on a delicate material technique. The study used photolithography to generate a surface with cell-adhesive stripes in an adhesion-resistant background, allowing for semi-quantitative description of cell orientation.
Statistics expert Utts identifies seven common ways statistics are misinterpreted in news reports, including confusion about cause-and-effect relationships. She advises readers to consider possible alternate explanations when interpreting observational studies.
Recent studies by Max Planck researchers found that presenting statistical information in 'natural frequencies' rather than probabilities improves experts' ability to reach correct conclusions. This method makes it easier for people to understand risk, leading to increased accuracy in medical diagnoses and criminal verdicts.
Researchers at the Naval Surface Warfare Center are developing new statistical techniques to aid human operators in detecting and defending computer networks against intrusion. The new algorithms will filter out access attempts from strange places or at strange hours, or any attempts asking for unusual information.
A team of Penn State researchers is reacquainting old friends by integrating statistical principles back into astronomy. They are using advanced methods such as time series analysis, sampling theory, and nonlinear regressions to tackle complex problems like large-scale clustering of galaxies and the internal structure of the sun.