Sentences with phrase «statistical model was used»

Among other issues, researchers have considered which scaling properties are necessary for measuring growth (see, for example, here), whether the tests» scale properties met the assumptions of the statistical models being used (see, for example, here), if growth in student achievement is scale dependent (see, for example, here), and even if tests that were vertically scaled could meet the assumptions required by regression - based models (see, for example, here).

Statistical models are used to correlate the price of a vehicle with its cost of ownership among 34 vehicle segments.

Not exact matches

Hansen's seminal work essentially updated an important theory of statistical modeling from the late 1800s, called the Method of Moments, allowing it to be used more accurately for things like setting monetary policy.

I like that I can set my own risk profile and that I'm using the underlying statistical model and not my emotions to know what moves to make.

It is possible to use statistical analysis and risk modeling to test for inefficiencies in any marketplace.

It IS possible, however, to use statistical analysis and risk modeling to test for profitable opportunities in any marketplace.

Can the use of statistical model, which is now common in baseball, be used in football which is more complex.

The movie MoneyBall is about a baseball team, The Oakland Athletics, which uses statistical models to buy undervalued players in the market and analyse the game to get them more wins.

Multiple meta - analyses were conducted using the random effect model on raw data in the StatsDirect statistical program.

The reliability and stability of these methods were described by Wu et al. 27 Illumina tag sequencing of the 16S rRNA gene V4 - V5 hypervariable region was performed at the Marine Biological Laboratory in Woods Hole, Massachusetts, using established methods.28, 29 Details of sequencing methods, quality control and filtering, and statistical modeling are presented in the eAppendix in the Supplement.

«If we know how genes control drug response, we can create a statistical model that shows us what will happen before using the drug,» said Wu, who is also a member of Penn State's Huck Institutes of the Life Sciences.

Ms Koechlin, Professor Philippe Autier and colleagues used statistical models to work out whether current cancer death rates were due more to the effects of age, the year of birth (which takes into account exposure to cancer - causing agents such as sunshine during early life), or to the recent introduction of new medical technologies or treatments.

Using statistical models to home in on genetic mutations that spread quickly throughout populations, Pritchard and his colleagues have identified hundreds of regions of the genome that have recently been transformed by natural selection.

Any results that are reported to constitute a blinded, independent validation of a statistical model (or mathematical classifier or predictor) must be accompanied by a detailed explanation that includes: 1) specification of the exact «locked down» form of the model, including all data processing steps, algorithm for calculating the model output, and any cutpoints that might be applied to the model output for final classification, 2) date on which the model or predictor was fully locked down in exactly the form described, 3) name of the individual (s) who maintained the blinded data and oversaw the evaluation (e.g., honest broker), 4) statement of assurance that no modifications, additions, or exclusion were made to the validation data set from the point at which the model was locked down and that neither the validation data nor any subset of it had ever been used to assess or refine the model being tested

The researchers then analyzed the data using a statistical model to explore whether there were links between social engagement in the community, and disaster preparedness efforts including following disaster - related news closely, preparing a family emergency plan or a disaster supplies kit, or planning to migrate to a lower risk area.

Using statistical learning and data - mining algorithms, the model uses the measurable results of these decisions, recorded in a criminal incident database, to determine if crimes are linked.

Using statistical modelling analysis, he concludes that — based on the available data — an estimate for domain name demand not met by available word combinations is as much as 25 % of all currently registered Internet domains.

In her doctoral thesis, Henni Pulkkinen, Researcher at the Natural Resources Institute Finland (Luke), explored how the various sources of uncertainty can be taken into account in fisheries stock assessment by using Bayesian statistical models, which enable extensive combining of information.

Although a more detailed understanding of the physics of the two layers is necessary to improve the computer models, the stratospheric effects can simply be used as another factor to incorporate into statistical predictions.

Background Often, the frequency of outcomes for an event can be modeled and predicted using statistical analysis.

Through use of these features and examples of Twitter bots provided by Texas A&M University professor James Caverlee's infolab, the researchers are able to train statistical models to discriminate between social bots and humans; according to Flammini, the system is quite accurate.

In the GRL study, researchers used a statistical model based on historical climate data to separate how much of the extreme rainfall from Hurricane Harvey was due to natural influences and how much was due to human influences.

By using a statistical technique known as Bayesian analysis — which combines probability with archaeological information to improve precision for groups of radiocarbon dates — the study authors were able to produce a high - precision chronology model for early domestic horse use in Mongolia.

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.

They have developed a set of tools that can be used to make accurate, rapid assessments of proposed materials, using a series of relatively simple lab tests combined with computer modeling of the physical properties of the material itself, as well as additional modeling based on a statistical method known as Bayesian inference.

To determine the length of time it likely took for the study patients» cancers to form, the scientists used multiple statistical models that took into account the patient's age when they were diagnosed and the total number of mutations in each patient's cancer.

The statistical model used (network meta - analysis) is not suitable, as it can lead to an incorrect evaluation of treatment effects: Non-significant differences can incorrectly appear to be significant.

Using statistical models, a team of researchers from the British Antarctic Survey and Plymouth Marine Laboratory assessed the likely impact of projected temperature increases on the Weddell Sea, Scotia Sea and Southern Drake Passage, which is known for its abundance of krill.

The researchers used a mathematical method based on statistical modeling, known as a polynomial transformation technique - based recursive least - squares algorithm, to first generate a mixed - rate model using fast sample rate inputs and slow - sample rate outputs that identifies the mechanical resonances beyond the Nyquist frequency, and then to derive a fast - rate model involving fast sample - rate inputs and fast sample - rate outputs from which the unwanted frequencies can be extracted.

The August study is the third published by the group and details how a new statistical model designed specifically for children can be used to reliably discriminate performance among hospitals.

Second, aggregators are using imperfect statistical models to average results.

The analysis, using the most comprehensive genetic data set from Native Americans to date, was conducted using three different statistical models, two of them created by UC Berkeley researchers.

Using the results of their statistical analyses, the researchers then modelled a set of hypothetical flowers, whose attractiveness to hoverflies were then tested in Bangalore, Sikkim and Uppsala.

Finally, hypotheses «fetus affected» versus «fetus unaffected» are tested from cumulated experiments using a dedicated statistical model.

A random effects model was used and statistical heterogeneity was quantified using the I2 and τ2 statistics.

Third, using a «semi-empirical» statistical model calibrated to the relationship between temperature and global sea - level change over the last 2000 years, we find that, in alternative histories in which the 20th century did not exceed the average temperature over 500-1800 CE, global sea - level rise in the 20th century would (with > 95 % probability) have been less than 51 % of its observed value.

NIMBioS Seminar: Using the mathematical programming language R for statistical modeling with counts of bats

By developing a computational shortcut to rapidly estimate genome size using statistical modeling, Dr. Pollard's team has been able to improve the accuracy of microbiome studies.

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 statistical model calibrated to the relationship between global mean temperature and rates of GSL change over this time period, we are assessing the human role in historic sea - level rise and identifying human «fingerprints» on coastal flood events.

The statistical analysis of gene - families, resistance genes and mobile elements was performed by ShotgunFunctionalizeR 1.03 using custom - made annotations and the Poisson model for direct comparisons [24].

The challenge facing biologists now, say many Hutch scientists, is the need for new statistical models to extract useful information - a need that has not kept pace with the overwhelming number of experiments conducted using microarray technology.

So that's an incredible game - changer, but the core question is still the same: How do we use mathematics and statistical models to interpret population genetic data?

Red indicates regions of North America for which a statistical analysis using two climate models indicated there is a 97.5 percent probability that average temperatures will rise by at least 2 degrees Celsius (3.6 degrees Fahrenheit) by 2070.

«The social sciences are very intrigued by big data, but the same statistical models that have been used for survey and administrative data aren't the right tools for it,» she said.

Because the groups were created using a stratified randomization procedure within matched applicant group pairs, Matchim is also included in the model as a vector of dummy variables that have the statistical effect of estimating within, as opposed to across, matched pairs.

This assessment is based on state tests, using a value - added model that applies statistical analysis to students» past test scores to determine how much they are likely to grow on average in the next year.

Because the groups were created using a stratified randomization procedure within matched applicant group pairs, Matchim is also included in the model as a vector of dummy variables that have the statistical effect of estimating within, as opposed to across, matched groupings.

These characteristics were used in statistical models to adjust for whatever differences remained between students who were offered and not offered vouchers.

Since we used statistical models that included many observable school -, teacher -, and class - level variables — such as school and class size, teachers» levels of education and experience, and schools» demographic makeup — it is clear that the things that make schools and teachers effective defy easy measurement.