Sentences with phrase «use statistical approaches»

In this study, Rotem Ben - Shachar, Scott Schmidler, and Katia Koelle at Duke University use statistical approaches to test if proposed mechanisms can explain variation in dengue viral load patterns.

Professor Siddiqui, Professor of Airway Diseases at the University of Leicester and Consultant Respiratory Physician at Leicester's Hospitals, added: «Further research is now underway to understand how to use these statistical approaches to combine complex information in asthma patients and make personalised treatment decisions.»

By analyzing the relationships between these variables, using a statistical approach known as a regression analysis, they identified striking patterns that held across primate taxa.

An international team of researchers has taken an important step towards solving a difficult variation of this problem, using a statistical approach developed at the University of Freiburg.

Barzilay used a statistical approach that compared Ugaritic with Hebrew, a known related language.

«Hopefully researchers will start looking in the black holes, the larger gaps,» he says — perhaps by using the statistical approach that he and his colleagues outlined August 30 in the Proceedings of the Royal Society B.

We removed the influence of ENSO, the Pacific Decadal Oscillation (PDO62) and the Atlantic Multidecadal Oscillation (AMO63) from the MHW proxies using a statistical approach.

The Times used a statistical approach known as value - added analysis, which rates teachers based on their students» progress on standardized tests from year to year.

Here we use a statistical approach to quantify the edge effects.

The point of such research is to prepare national and civic authorities for extremes to come, and Professor Diffenbaugh and his fellow researchers have already used their statistical approach to connect human - induced global warming with drought in California, and changes in monsoon rainfall in Asia.

Not exact matches

This paper examines the day of the week effect in the crypto currency market using a variety of statistical techniques (average analysis, Student's t - test, ANOVA, the Kruskal - Wallis test, and regression analysis with dummy variables) as well as a trading simulation approach.

Author Dan Fabrizio, says the book, «hit # 1 in its category «Sports < Gambling,» and uses an academic and statistical approach to finding value in the sports marketplace.»

The study uses four statistical approaches, which come to the same conclusion: «there is no significant correlation between dissolved methane concentrations in groundwater and proximity to nearby oil / gas wells.»

The new approach contrasts with previous ways scientists analyzed and came to conclusions about sea level rise because it is «the only proper one that aims to fully account for uncertainty using statistical methods,» noted Parnell, principal investigator of the study conducted collaboratively with researchers at Tufts University, Rutgers University and Nanyang Technological University.

«Subsequently, sophisticated statistical approaches were used to extrapolate plant trait values using a combination of climate, soil and spatial information.

«By using this approach, we first tried identify the structural modules of well - studied proteins by using as input solely their sequence information and using statistical inference methods.

By using their more powerful statistical approach, the researchers found clusters of mechanistically related genes where previous studies had merely suggested a few isolated SNPs.

This approach is used for determining the statistical self - affinity, or fractal nature, of a set of data, particularly relevant for data with long - memory characteristics.

Using multiple statistical approaches to study a long - term pediatric cohort in Nicaragua, we show that risk of severe dengue disease is highest within a narrow range of preexisting anti-DENV antibody titers.

«Using innovative data normalization and gene selection approaches, we combined the statistical power of multiple genomic studies and masked their variability and batch effects to identify robust early diagnostic biomarkers of pancreatic cancer,» said first author Manoj Bhasin, PhD, Co-Director of BIDMC's Genomics, Proteomics, Bioinformatics and Systems Biology Center and Assistant Professor of Medicine at HMS.

To find out how average monthly temperatures had changed from 1847 to 2013, the researchers used an advanced statistical time series approach to figure out what changes in temperature were due to natural variability and what changes represented a long - term trend.

The groups used different statistical approaches to subtract out the gamma - ray emission from normal astrophysical sources such as pulsars and supernovae to hunt for a dark matter signal, and each arrived at the same conclusion — that any gamma - ray light coming from dark matter must be generated by a relatively heavy particle.

Researchers from North Carolina State University, the National Institute of Standards and Technology (NIST) and Oak Ridge National Laboratory (ORNL) have developed a novel approach to materials characterization, using Bayesian statistical methods to glean new insights into the structure of materials.

By using all the data and new statistical approaches that can handle short records, and by using novel approaches to estimation and avoidance of systematic biases, we expect to improve on the accuracy of the estimate of the Earth's temperature change.

The researchers used advanced statistical approaches to study the data collected between 2001 and 2011 as part of the CDC's Behavioral Risk Factor Surveillance System.

Stanley W. K. Ng, a senior PhD candidate in the lab of Dr. Peter Zandstra at the Institute for Biomaterials and Biomedical Engineering, University of Toronto and co-lead author of the paper, used rigorous statistical approaches to develop and test the new «stemness score,» using AML patient data provided by the Princess Margaret leukemia clinic and collaborators in the United States and Europe.

But even if the growth of the economy is not algorithmic, an algorithmic approach may still be of use in finding statistical features of model economies for comparison to the real one.

To improve on that, Dee and his colleagues used a computerised statistical approach known as Bayesian modelling.

«Across the entire literature, the statistical approaches used are often suboptimal.

These kinds of observations can not be easily made under a microscope, of course, but require instead an indirect, statistical approach: «Using small - angle X-ray scattering at BESSY II, we were not only able to ascertain that the nanoparticles are all around five nanometres in diameter, but also measure what the separations between them are.

Researchers at Rice University, Baylor College of Medicine and their colleagues used data from such maps to develop a statistical approach that reveals details about brains» internal networks.

Our Berkeley Earth approach used sophisticated statistical methods developed largely by our lead scientist, Robert Rohde, which allowed us to determine earth land temperature much further back in time.

These methods make use of modelling of the 3D structures of proteins and their ligands, and of original statistical approaches to the increasing amount of data on structures and interactions (Figure 1).

Bioinformatics approaches used encompass deep learning and statistical methodology for processing high - dimensional big data sets.

In collaboration with Stanford, the University of Southern California (USC), and the University of Alabama (UAB), the team used experimental, statistical, and visualization approaches to create the atlas.

Our fundamental approach to interacting with the world — collecting reproducible large datasets, using state - of - the - art detectors, reconstructing remote phenomena, understanding the world through physical models, and employing sound statistical analyses of significance — are highly congruent with the modus operandi of earth scientists.

Using a Bayesian statistical approach, this study concluded that

Current approaches often use static representations of phylogenetic, epidemiological, statistical and evolutionary analysis results that are difficult to relate to one another.

The approaches combine theoretical studies — including statistical physics of non-equilibrium systems — and a variety of experimental techniques such as optical and electron microscopy, as well as microfluidics and micropatterning, optogenetics, or mechanical micromanipulation using optical or magnetic tweezers.

Here, we present a new statistical approach called oncomix, that models transcriptional heterogeneity in tumor and adjacent normal (i.e. tumor - free) using bimodality to find oncogene candidates.

This current article is subject to the statistical errors as eloquently enumerated & discussed most recently by S Shapiro PhD (U of Capetown) regarding the UK «Million Women's Study»; about the use of postmenopausal hormones, the subsequent development of breast cancer, and the correct statistical approach.

The most sophisticated approach uses a statistical technique known as a value - added model, which attempts to filter out sources of bias in the test - score growth so as to arrive at an estimate of how much each teacher contributed to student learning.

In a recent article, Greg Branch, Steve Rivkin, and I use a variety of statistical approaches to isolate the impacts of a principal on student learning.

Without the benefit of random assignment, we used a variety of statistical approaches to determine the program's impact on student achievement immediately after its launch.

In order to circumvent the issue of selection bias in the case of mandatory retention policies like the one proposed for Michigan, recent studies have utilized a statistical approach that compares children who fall just above and just below the cutoff used to determine retention.

The first is what statistical approach to use to estimate TPP effects.

This project seeks to use a blend modern causal inference, machine learning methods, and classic statistical tools from survey sampling to extend existing approaches for treatment effect variation into education contexts.

In an EdSource blog post, Arun Ramanathan, CEO of Pivot Learning Partners, suggests that like the innovative statistical approaches used to measure success in baseball, educators should broaden the measures they use in order to paint a more complete picture of student performance.

When The Times, for instance, published a series of articles analyzing teacher performance using a «value - added» statistical approach, Duffy not only rejected the methodology but also blamed the paper for the suicide of one teacher who received a so - so ranking — plumbing the depths of Duffy's cynical demagoguery.

I think being at this point in player counts, where those purely statistical approaches huge games use start to break down, actually makes for a more interesting set of problems and potential solutions!