Sentences with phrase «using robust analysis»

Scientists tested small groups of people across a wide spectrum of glucose levels including healthy (15) athletic (14), and obese (23) people, and people with prediabetes (10) or type 2 diabetes (11) using robust analysis of glucose levels and fatty acids in their blood.

Not exact matches

To date, results from several longitudinal studies indicate that e-cigarette use among nonsmoking youth increases the likelihood of future use of conventional cigarettes.5 — 10 Specifically, the pooled odds ratio (OR) in a recent meta - analysis of studies of adolescents and young adults (aged 14 — 30) indicates that those who had ever used e-cigarettes were 3.62 times more likely to report using cigarettes at follow - up compared with those who had not used e - cigarettes.11 This finding was robust and remained significant when adjusting for known risk factors associated with cigarette smoking, including demographic, psychosocial, and behavioral variables such as cigarette susceptibility.

The new Premium Pro Smart Money analysis uses historically robust parameters to trigger Smart Money alerts.

Meta - analyses help in establishing robust patterns, but studies often use very different measures of both paternal involvement and children's outcomes, making comparisons difficult.

To gain insight into what brain regions may be driving the relationship between social distance and overall neural similarity, we performed ordered logistic regression analyses analogous to those described above independently for each of the 80 ROIs, again using cluster - robust standard errors to account for dyadic dependencies in the data.

Taking advantage of this relevant cell model, we provided, by using a whole - genome transcriptional analysis, a list of DM1 specific biomarkers that could be considered as a robust DM1 signature.

For Affymetrix expression data, while log2 intensity values after robust multiarray average data processing and normalization were used for all statistical analyses, unlogged expression values are plotted in the figures.

Using robust design analysis of multi-season data, we developed several models to understand the effects of different variables on the modelled parameters that included survival probability, temporary emigration and immigration, and capture and recapture probabilities.

Using seed regions from the functional connectivity maps, the DTI analysis revealed robust structural connections between the MTLs and the retrosplenial cortex whereas tracts from the MPFC contacted the PCC (just rostral to the RSC).

We used robust design multi-season mark - recapture analysis to estimate the trends in abundance, sex ratio, survival probability and the probability of temporary emigration and immigration for adult and young snow leopards.

SRM - MS analysis will permit us to directly use small - sized samples, such as the individual CSF samples, enable verification of marker candidates that currently do not have available antibodies (hence not amenable to conventional analyses such as ELISA or Western blots), and provide robust statistical analyses on individual candidate markers or combinations of them to determine which would make the best biomarker (s) for a particular disease condition.

In this study we review the most commonly used indel detection methods and using a robust, sensitive, and cost efficient Indel Detection by Amplicon Analysis method, we have investigated the impact of the most commonly used CRISPR / Cas9 delivery formats, including lentivirus transduction, plasmid lipofection, and ribo nuclear protein electroporation, on the dynamics of indel profile formation.

Megan's work focuses on fostering district - wide assessment and data literacy and implementing a balanced assessment strategy, including conducting research on next generation assessments, coordinating the development and adoption of new assessments, and providing professional development to build assessment literacy through the use of robust data analysis protocols.

Kevin Courtney, deputy general secretary of the National Union of Teachers (NUT), said the findings were not supported by the evidence, and claimed that the sample size of schools used in the analysis were too small to be «statistically robust».

Nationally recognized researchers at Research for Action (RFA) have been studying the early adoption of LDC tools, focusing on teachers» response to and use of the tools in 2010 — 2011, expanding to include an analysis of the scale - up of the initiative in 2011 — 2012 and, in 2012 — 2013, evaluating the status of the initiative and how conditions that support robust implementation are related to scale - up and sustainability of this intensive instructional work.

Now Ferri and his co-author Alex C. Benke have improved the analysis using more robust data.

Forex Analysis and Trading organizes the most widely used — although disparate — approaches to forex analysis into one synergistic, robust, and powerful frAnalysis and Trading organizes the most widely used — although disparate — approaches to forex analysis into one synergistic, robust, and powerful franalysis into one synergistic, robust, and powerful framework.

For traders who use technical analysis, the Nadex platform offers a full, robust charting application.

Our work indicates that analysis of global land temperature trends is robust to a range of station selections and to the use of adjusted or unadjusted data.

Instead, we did an extensive parallel set of sensitivity analyses using an EBM w / different estimates of the forcings, different climate sensitivities, etc. and showed that our key conclusions are quite robust.

In fact, Cane et al (1997) argue that the tendency toward increased SST gradient is precisely what is seen if one uses a robust trend analysis to decrease sensitivity of the trend analysis to outliers such as the very large 1982/1983 El Nino event (this event, and the equally large 1997/1998 El Nino event, greatly influence the estimate of a weakening trend of the Walker circulation in Vecchi et al).

It is also robust to the use of different climate models, different methods for estimating the responses to external forcing and variations in the analysis technique.

«By avoiding the (calibrating) instrumental period, and by using a fairly robust spectral measure for low - frequency performance, the above coherence analysis has uncovered several inconsistencies among the group of millennial reconstructions that figured prominently in the latest IPCC report and elsewhere.

It's obvious that he only removes the bristlecode series from the analysis to show that the statistical technique used by Mann is not robust.

Studies that compare results between models and analysis techniques (e.g., Hegerl et al., 2000; Gillett et al., 2002a; Hegerl and Allen, 2002), and more recently, that use multiple models to determine fingerprints of climate change (Gillett et al., 2002c; Huntingford et al., 2006; Stott et al., 2006c; Zhang et al., 2006) find a robust detection of an anthropogenic signal in past temperature change.

Humanity has been using robust policy analysis for 20,000 years.

the the results of Manns analysis are in relation to the inclusion or exclusion of any data set using any normal method of analysis, unless the data is enhanced by the Mannian data mining technique, in which case the results will appear robust because any / all data sets will produce a hockey stick.

Is Solver the most robust can opener that you could have used to do your analysis?

Robust evidence (just using AGW «scientific» terminology) on the occurrence of a MGW, warmer than the last decade warming, comes from the analysis of the flux of biogenic opal (SiO2.nH2O).

Analysis of reconstructions using pseudoproxy experiments suggests that CFRs are most robust where the density of proxy records with strong climate signals is sufficiently high [Smerdon et al., 2011].

For instance, US politicians frequently assert that it is an open question whether humans are causing the undeniable warming that the Earth is experiencing, thus exposing ignorance of dozens of lines of independent robust evidence of human causation including attribution studies, finger print analyses, strong evidence that correlates fossil fuel use to rising atmospheric concentrations of greenhouse gases, and other physical and chemical evidence.

Lacking from this conversation is a more robust analysis about the ways land governance, resource rights arrangements, and land use planning — the social aspects of the conservation challenge — affect mangrove conservation and rehabilitation.

Furthermore, it is also important to note that the methods used in global temperature analyses make them robust to the loss of stations because they use techniques which incorporate multiple nearby stations into analysis of any individual region.

Scientists are working their hardest to create the most accurate possible record of global temperatures, and use a number of methods including tests using synthetic data, side - by - side comparisons of different instruments, and analysis from multiple independent groups to ensure that their results are robust.

If there is an analysis that uses the global mean temperatures, you definitely want to know whether the original conclusions are robust to updates in the data.

We hope these tools will convene stakeholders who haven't — or otherwise wouldn't — collaborate on food system challenges, and guide them to use insights, backed by robust economics and data analysis, to identify proven solutions to immediately cut food waste,» said Cochran.

In addition, a robust economic analysis of blockchain tech implementation inside supply chains reveals an end - to - end win - win scenario where services are leaner and thus less costly operationally — and in terms of overhead, the innovative potential of businesses along the supply chain is drastically increased in the presence of highly robust employee training programs on blockchain usage and use case implementation.

Thus, our findings appear robust using parametric and nonparametric analyses and weighted and unweighted analyses.

Meta - analyses help in establishing robust patterns, but studies often use very different measures of both paternal involvement and children's outcomes, making comparisons difficult.

In order to correct for the deflation of standard errors and widened confidence intervals imposed by the dyad - level analysis, a cluster robust function was used to obtain individual specific confidence intervals.