Articles tagged with Statistical Methods
Researchers used drones to estimate hippo numbers in the Okavango Delta, northern Botswana, and found the method to be just as effective as traditional land surveys. The drone's bird's-eye perspective allowed for accurate counting of individual hippos, even when they were crowded together.
Researchers developed a method to forecast probability and severity of aftershocks, analyzing seismic patterns and incorporating statistical methods. This tool provides a useful approach for mitigating earthquake hazard, enabling timely updates based on new data.
Researchers at Stockholm University developed a method to predict impacts of climate change on tularemia outbreaks. The study shows that relatively small changes in climate and water conditions can sharply increase incidence of tularemia in humans.
Scientists have developed a new technique for measuring the expansion of the universe using gravitational lensing, which yields a somewhat higher Hubble Constant value compared to standard measurements. The method provides a valuable alternative approach to addressing the long-standing discrepancy in the Hubble Constant's value
A new standard, BIDS, allows researchers to compare and combine studies in an apples-to-apples way. This enables the sharing and analysis of large brain imaging datasets, improving the field's ability to understand brain function.
Researchers developed a new method to predict vent location forecasts by combining physics and statistics, successfully testing it on the Campi Flegrei caldera in Italy. The approach improves accuracy for predicting future eruptions and expanding ash plumes, providing valuable insights for land usage planning in volcanic areas.
A bioengineering group from the University of Pittsburgh developed a methodology to analyze imaging data, using approximate Bayesian computation to derive useful quantitative information for experimental design. They found that tissue properties such as force production and adhesion are more likely to vary with initial tissue size.
A new study reveals a reliable sequence of neural interactions in the human brain that corresponds to visual processing, language state, and articulation state when naming objects. The findings support the view that dynamic interactions within neural networks govern language production.
Researchers at Georgia State University have developed a non-invasive method for detecting liver fibrosis using machine-learning algorithms and ultrasound scans. This technology has the potential to improve early diagnosis and treatment of liver diseases, which affect millions worldwide.
Researchers developed an analytical model to validate the capability of break junction techniques in extracting conductance information from single-molecule systems. The study explores the feasibility of using this technique to analyze molecular assembly, diffusion, and reaction processes in weak interaction systems.
EPFL researchers use data science to analyze Beethoven's String Quartets, finding that few chords govern most of the music. The study reveals a unique statistical signature characterizing Beethoven's composition style, offering new insights into the structure and evolution of classical music.
The NIH study found that a sudden increase in demand for suicide prevention services occurs after celebrity suicides, with a significant spike in calls to the National Suicide Prevention Lifeline. The researchers emphasize the need for increased funding and efficient allocation of existing resources to ensure surge capacity.
Researchers at TUM developed a model to compute water level impacts on river sections by extreme weather events, enabling extrapolation of almost any location in the entire river system. Statistical methods linked satellite data from repetitive and SAR altimetry satellites.
The tool uses Bayesian modeling to automatically generate statistical models from raw data, addressing a bottleneck in the data science field. By providing a user-friendly interface, it enables nonstatisticians to uncover insights and patterns in data, making data science more accessible to those without extensive expertise.
Dr. Easton R. White analyzes 822 vertebrate species populations, demonstrating substantial problems with current sampling approaches. He argues that properly statistically powered methods will provide a truer representation of population health.
A study on European Union international trading markets reveals conditions where the Newcomb-Benford Law applies and where it does not, enabling the detection of frauds. The findings may lead to an automated system for flagging suspicious patterns in transactions.
Researchers developed a noninvasive diagnostic imaging method for bladder cancer using machine learning analysis of nanoresolution images from urine samples. The method achieved 94% accuracy in diagnosing bladder cancer compared to cystoscopy, the clinical standard.
Researchers developed a new method to study sensitive behaviors, using a probabilistic technique that protects responders' identities. The study found that people from rural communities with limited job opportunities and those displaced by civil war were more likely to engage in illegal activities.
A new text-mining method developed by Cornell statistician Shawn Mankad and his colleagues can help developers improve mobile apps faster. By aggregating and parsing customer reviews in one step, the method provides guidance on a single app's performance and compares it to competing apps over time.
A recent study by La Trobe University found that Australians are re-evaluating their relationship with alcohol, with younger adults being key drivers of change. The research revealed that 30% of Aussies have reduced their drink intake and 6% have quit drinking altogether.
A new statistical technique helps address gender and publication biases in science by explicitly testing for equivalence rather than difference. The method allows for the comparison of similarities between traits, providing insights into conservation efforts and knowledge gaps in fields like ecology and animal behavior.
A machine-learning model provides risk assessment for complex nonlinear systems, identifying the types of extreme events likely to occur. The technique simulates wave forces and stresses on structures, offering a faster and more accurate risk assessment than traditional methods.
A new study analyzed 2,855 test match cricketers to reveal significant uncertainty in current rankings, with players like Joe Root and Kane Williamson having uncertain positions between 9th and 343rd. The study found that batting last is difficult and playing away from home is equivalent to playing on a pitch in its third innings.
Scientists are using large-scale computer simulations and statistical methods to better understand dark matter and dark energy. These mysterious components make up approximately 96% of the universe, influencing its expansion and structure. The research aims to provide insights into over 14 billion years of cosmic history.
Research by Peter Selb and Simon Munzert found Hitler's 455 public appearances had surprisingly small effect on electoral outcomes. His personal involvement only positively impacted the 1932 presidential election, but overall campaign effects were minor.
A key statistic in baseball, Wins Above Replacement Player (WARP), has been found to not accurately measure player quality due to the game's unique nature. The analysis revealed that team performance is more indicative of a team's quality than individual player value.
New research found that moving fish farms away from seagrass meadows can boost their growth and health. The study, led by the University of Plymouth, showed that seagrass limits increased at a rate of 1.2-9cm per year in areas with reduced fish farming impact.
The ADMYRE trial found a statistically significant increase in overall survival with plitidepsin plus dexamethasone compared to dexamethasone alone. The two-stage model showed a 11.6-month overall survival in the plitidepsin arm, exceeding 6.4 months for dexamethasone.
A study published in The BMJ found that many national recommendations for newborn screening do not assess the key benefits and harms of screening. Effective screening programmes can save lives, while ineffective ones can cause more harm than good. Only 22% of the 276 recommendations were based on evidence from systematic reviews.
Researchers from Singapore University of Technology and Design used fractional factorial design to optimize Sb2Te3 crystal quality, growing high-quality crystals over a 4
A software prototype called eFeed-Hungers has been developed to divert excess food to those in need, reducing food waste in the US and India. The interactive online network allows donors to post food they have to donate and those in need to find nearby locations for pickup.
A study by Cornell sociologists found that MESA, a widely-established enrichment program, improved black students' high school STEM engagement but had little impact on Latino students' aspiration to major in a STEM field in college. The researchers suggest tying enrichment programs with social connections to amplify positive effects.
Carnegie Mellon University's Rob Kass and Byron Yu will present on using statistical methods to understand brain function, including the development of brain-computer interfaces. The panel aims to explore the application of cutting-edge statistics in neuroscience.
A new statistical method, ADGN, matches multiple records with precision and identifies the scope of discrimination when applied to voter ID laws. The research found that white registered voters are significantly more likely to possess a voter ID than African-American or Hispanic voters.
A study by Brigham Young University researchers found that lower speed limits were linked to higher rates of accidents, contrary to expectations. Increasing shoulder width and using concrete barriers were also associated with a decrease in crash risk.
The Data Science Institute developed a novel statistical method to measure predictivity in big data analysis. The approach allows researchers to compare their predictions to a theoretical baseline, enhancing accuracy. The team will help the New York City Department of Transportation assess complex social problems using big data sets.
Researchers have created a new statistical model to study bycatch in commercial fishing, enabling more accurate predictions of incidental catches. The Random-Effects Hurdle Model can be applied to various fields with complex data structures, including health economics and medicine.
The Virtual Training Agent for Veterans (VITA4VETS) program uses virtual simulation practice to build job interviewing competence and confidence among veterans. With a high success rate of 93% in securing employment, VITA4VETS provides customizable training to address the challenges faced by transitioning service members.
Researchers developed a new statistical method to calculate sea level rise, showing it's not only increasing but also accelerating. The study found the rate of sea level change on the East Coast is the highest in 2,000 years, with areas like New York City facing rapid increases.
A study by University of Virginia Assistant Professor Matthew Gerber found that Twitter can help predict crime by analyzing common topics of discussion, such as sports and entertainment. The result was more precise than older forecasting models, with accurate predictions for 19 out of 25 crime types.
A new statistical method for network anomaly detection uses machine learning to identify unusual behavior, potentially providing a more robust approach to cybersecurity. The model has been developed by researchers at the University of Oxford and is being presented at the 2017 Joint Statistical Meetings.
Researchers at KAUST have developed a systematic method for comparing the accuracy of different types of simulation models for predicting extreme events. The study found that nonparametric methods are more flexible but limited to small dimensions, while parametric methods can handle higher-dimensional problems but are sensitive to errors.
A new mathematical method identifies ancient genetic variations contributing to autism spectrum disorder, suggesting a small effect of each variant. The approach uses discordant siblings to find a clear signal of these shared variants, which are common among individuals with autism in both affected and unaffected populations.
Researchers have observed a real-time decrease in Asian dust depolarization, attributed to the coating of an air pollutant like Ca(NO3)2. This finding highlights the importance of internally mixed 'quasi-spherical' Asian dust particles as cloud condensation nuclei (CCN).
A novel air quality model, REGiS, can predict surface ozone levels up to 48 hours in advance by combining statistical models with weather patterns. This method provides a 48-hour heads-up for air quality forecasters and decision-makers to mitigate unhealthy ozone level formation.
Researchers from University of Extremadura develop non-destructive method using Magnetic Resonance Imaging to quantify salt content of Iberian ham and classify it according to salt penetration. This methodology enables real-time results and can be applied to other quality parameters.
A new study by Mark J. Bolland and his team analyzed 33 randomized controlled trials, finding reported results that differed markedly from what could be expected statistically. The trials reported large reductions in hip fractures, but the findings are not consistent with results found in similar studies by other researchers.
Researchers have developed a new algorithm that can efficiently fit probability distributions to high-dimensional data, even when the dataset contains corrupted entries. The algorithm relies on two insights: selecting an appropriate metric for measuring distance from distributions and identifying regions where cross-sections should begin.
This study explores the structural features of quercetin derivatives that inhibit EGFR protein in NSCLC cells. The researchers developed a pharmacophore model that identified key features, such as hydrogen bond acceptors and aromatic rings, which are associated with effective inhibition.
Researchers analyzed Skype data on 500 million users, finding that stable adopters play a key role in emerging global adoption patterns. Vulnerable adoptions induced by single neighbors are localized, while innovators and social influencers drive the spread of adoption.
Researchers at Linköping University found that common fMRI analysis methods produce false positives, leading to inflated false positive rates. The team's alternative method yielded more accurate results, reducing the false positive rate from 60% to 5%.
The American Statistical Association publishes guidelines for researchers to treat statistics as a science, not a recipe. The 10 simple rules emphasize the need for principled statistical analysis to avoid misperceptions and inaccurate claims.
Researchers at Simon Fraser University are developing futuristic mobile video communication systems to connect people for outdoor activities, such as hiking or biking. The project aims to provide a sense of presence and shared experience despite physical distance.
A new statistical technique can help scientists determine causation of effects they are studying, providing a direction for research and overcoming ethical boundaries. The approach was tested on studies involving ADHD and lead exposure, and found support for the link between high levels of lead in blood and ADHD symptoms.
A New York University analysis found that contextual factors significantly impact replicating psychological studies. Studies with high contextual sensitivity ratings were less likely to be reproduced by the Reproducibility Project researchers.
Researchers used transitional probability to segment natural language and found it effective for 49-86% of word identification across languages. The method performed better on stress-timed languages, while mora-timed languages required relative thresholding.
Researchers create a new method for generating truly random numbers using two weakly random sequences, offering higher levels of security for data encryption, electronic voting, and simulations. This breakthrough could improve cybersecurity and increase the accuracy of complex systems.
The American Statistical Association has released six principles for improving the use and interpretation of p-values. The statement addresses misconceptions and misuse of p-values, emphasizing the importance of proper study design, data analysis, and reporting.
Researchers developed statistical methods to analyze HIV-infected infant data, showing early ART treatment preserves immune system function. The study suggests better treatment strategies can be initiated shortly after birth.
Scientists use chemical fingerprints to detect saffron fraud, revealing over 50% of 'Spanish' saffron is from other countries. The technique uses metabolomics to identify unique chemical markers for each type of saffron.