Sentences with phrase «statistical approaches for»

Statistical approaches for DNA barcoding Nielsen, R. and M. Matz.

Statistical approaches for DNA barcoding.

Now, a team of researchers at the National Institute of Standards and Technology (NIST) has developed a statistical approach for ballistic comparisons that may enable numerical testimony.

There was a reason for the TOBs changes not considered in the statistical approach for determining TOBS bias, people want to know the day's high and low temperature that day.

Not exact matches

This approach is one variant for defect correction after the statistical charts show that something is amiss.

Compared with combination - fed infants, this enrichment approached statistical significance before correction for multiple comparisons.

An approach developed in Freiburg by researchers from Rome, Milan; Redmond, USA; Paris, and Freiburg now makes it possible for the first time to identify characteristic statistical signatures across unmeasurable probability distributions.

Another promising approach involves combining physics, statistical modeling and computing to derive sound projections for the future of ice sheets.

Sufficient information should be supplied to allow readers to judge whether any assumptions necessary for the validity of statistical approaches (e.g., data are normally distributed, survival data are consistent with proportional hazards in a Cox regression model) have been verified.

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.

«Search for Earth - like planets: Try a statistical approach: Proposal touts value of broader, less detailed studies of exoplanets.»

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.

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.

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.

We also developed a statistical binning approach that improves multispecies coalescent analyses for handling gene trees with low phylogenetic signal to infer a species tree (SM5)(58).

Another research project fueled an ongoing debate about which statistical method is better for examining experimental data: Bayesian statistics, which incorporates early intuition, or the classical approach, which only takes a study's collected data into account.

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.

The new estimate of mortality from windows, based on statistical analysis of 23 local studies, comes close to an old estimate (100 million to 1 billion) that had been derided for its simple, back - of - the - envelope approach.

And, because it eschews complex physical climate models for a statistical, data - driven modeling approach, it is relatively «simple and parsimonious,» Kalra said.

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

Her clinical focus is aimed at developing a personalized approach to medicine utilizing family history and genetics, creating the best treatment strategy for each patient, rather than relying on the best statistical odds for the majority.

Dr Louella Vasquez (PhD Physics, WTSI Postdoctoral Fellow) is responsible for the statistical analyses and development of new modeling approaches.

Title: Combining efficacy and completion rates with no data imputation: a composite approach with greater sensitivity for the statistical evaluation of active comparisons in antipsychotic Trials Author: J. Rabinowitz et al..

Important topics include design and task specification, planned group comparisons, behavioral performance metrics, imaging details, data pre-processing, intersubject registration, statistical modeling details for both the individual and group level, and statistical inference including approach to multiple comparisons correction.

MELGEN will explore emergent new techniques, for example the Sanger Institute (GRL) and ServiceXS will explore new approaches to genomic data generation from such samples and from fresh tumour and, critically, with other participant groups develop new statistical / bioinformatic approaches to data analysis.

The need for a systematic approach to tractography validation and for a framework to perform statistical model testing in individual brains has been claimed (Pestilli Nature: Scientific Data 2015).

Our framework links innovative approaches for (1) generating high - resolution, probabilistic projection of future climate and sea - level changes and (2) empirically identifying robust statistical relationships characterizing how humans have responded to past climate variability and past climate change, in order to (3) project how humans may respond to uncertain future changes.

In addition, our statistical approach provides a measure of certainty for each prediction, in contrast with current palynology methods that are almost always based on expert opinion and devoid of statistical inference.

The differences in percentage of marital break - ups across on - line venues approached statistical significance [χ2 (10) = 16.71, P = 0.08; Table S5], but differences across off - line venues were not statistically significant [χ2 (9) = 10.17, P = 0.34], and neither test was significant after controlling for covariates [χ2 (10) = 14.41, P = 0.17, and χ2 (9) = 7.66, P = 0.56, respectively].

To that end, we encourage states to develop a multiple measures approach to assessment, and we believe that standardized tests must meet American Statistical Association standards for reliability and validity.

The Times analysis relied on a statistical approach known as «value - added,» which estimates the effectiveness of teachers by crediting them for the gains students make over their performance in previous years on standardized tests in math and English.

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 initial lesson plan is for middle school math (graphing, statistical analysis, and measurement) but with Rimwe's approach training, it can be converted into a wonderful integrated lesson that includes technology and science and engineering.

Research can show how the statistical approach affects the likelihood that programs are identified for some kind of action, which creates tradeoffs; some programs will be rightly identified while others will not.

For each of these application categories, the data that reflect alignment will require the deductive reasoning approach and consideration of the statistical strength of relationships between FAST ™ assessments and measures considered to reflect the «true» performance outcome for tested studenFor each of these application categories, the data that reflect alignment will require the deductive reasoning approach and consideration of the statistical strength of relationships between FAST ™ assessments and measures considered to reflect the «true» performance outcome for tested studenfor tested students.

This year we are pleased to present the Nan Tobler Award for Review of the Prevention Science Literature to Dr. David MacKinnon, Foundation Professor, Arizona State University for his body of work in statistical approaches to mediation analysis.

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.

I talk about a couple of different approaches in the book, like statistical sampling and «big - data» approaches [see this story for more details].

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.

It is this that people are buying into rather than the more statistical approaches that work very effectively for advanced exploration companies.

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!

(in general, whether for future projections or historical reconstructions or estimates of climate sensitivity, I tend to be sympathetic to arguments of more rather than less uncertainty because I feel like in general, models and statistical approaches are not exhaustive and it is «plausible» that additional factors could lead to either higher or lower estimates than seen with a single approach.

A statistical forecast using a regression based approach with fall surface air temperature anomalies over the region as the main predictor was submitted by Tivy (Figure 4) for ice concentration anomalies in September.

A statistical forecast using a regression based approach with fall sea surface temperature anomalies in the North Atlantic as the main predictor was submitted by Tivy (Figure 3) for ice concentration anomalies in July in Hudson Bay.

it is important to recognize that an inherent difficulty of testing null hypotheses is that one can not confirm (statistically) the hypothesis of no effect.While robustness checks (reported in the appendix), as well as p values that never approach standard levels of statistical significance, provide some confidence that the results do not depend on model specification or overly strict requirements for statistical significance, one can not entirely dismiss the possibility of a Type II error.

To begin I recommend this: http://socrates.berkeley.edu/~phylabs/adv/ReprintsPDF/NLD%20Reprints/17%20-%20Egodic%20Theory.pdf Sure, this paper is strongly temporal chaos oriented so its relevance for spatio - temporal chaos is limited but it gives the right paradigm how to approach problems of statistical predictability.

Also, using the same cherry picking approach as used by «skeptics» for the recent time period, based on which they claim a «global warming stop» or «pause» because of lacking statistical significance of a warming trend, I even could claim a «pause» in global warming from 1979 to at least the end of 1997.

For reasons discussed in # 278, I think that the application of alternative statistical methods & approaches would have to come much later.

For example, Annan and Hargreaves (2009) investigated the question using a Bayesian statistical approach, and concluded that

Idiosyncratic disturbances to individual trees should not cause any particular problems for any reasonable statistical approach.