Sentences with phrase «data analysis model»

«By combining the crowd - funding model with the open - access data analysis model that we pioneered with the Earth Microbiome Project, we can finally give anyone with an interest in his or her microbiome an opportunity to participate,» said Knight, a Howard Hughes Medical Institute Early Career Scientist.

The work applies a data analysis model for the growth and maturation of biomedical research to characterize the progress of research on the pharmaceutical chemistry of oligonucleotide therapeutics, as well as the molecular targets, for their actions.

Not exact matches

The new software targets data - intensive applications requiring high - speed access to massive volumes of information generated by countless devices, sensors, business processes, and social networks; examples include seismic data processing, risk management and financial analysis, weather modeling, and scientific research.

More than just a political analysis, Silver seemed to offer an appealing vision of the world — the promise that, with enough rigour and the right statistical models, we could sift through the data and see the future with clear, dispassionate eyes.

Employers believe that Social Media Marketing will be the most in - demand HR skill by year 2020, followed by Data Analysis and Predictive Modeling.

According to Nix, the success of Cambridge Analytica's marketing is based on a combination of three elements: behavioral science using the OCEAN Model, Big Data analysis, and ad targeting.

The B2B brands benefitted from corporate investment in storage and analysis of data but they also had to undergo fundamental changes like shifting to cloud - computing, pay - as - you - go models, rise of mobile and decline of PCs.

In October 2014, ICE purchased SuperDerivatives, a market data and analytics provider specializing in derivatives pricing models across all asset classes, risk analysis and cloud - based market technology, as well as a chat platform that is similar to competitors such as Bloomberg.

- retirement savings and income - Pre-59 1/2 72t Calculations (avoiding penalty tax)- college savings and 529 plan illustrations - college cost and tuition data - Coverdell education savings - risk profile questionnaires and quizes - model portfolio illustrations - asset allocation and portfolio optimization - portfolio management and value tracking - 401 (k) retirement savings - Cost of waiting to save - Effect of Taxes and Inflation - Estate Tax Estimator - Finding Money for your savings goals - Health Savings Account (HSA) illustrations - Historical Hypothetical Portfolio Performance - Impact of Inflation - Life Insurance Needs Analysis - IRA Eligibility (all types of IRAs)- IRA Savings and Goal Analysis - IRA Required Minimum Distributions (RMDs)- IRA to Roth Conversion - Long Term Care Insurance - Lumpsum Distributions vs. Rollover Distributions - Model Portfolio Creation and Comparisons - Mortgage Amortization - Net Unrealized Appreciation of Employer Stock - Net Worth Estimator - New Value Calculator - Pension / Defined Benefit Income estimates - Portfolio Allocation Rebalancing - Portfolio Optimization and «Advice» - Portfolio Return Calculations - Paycheck Tax Savings - Required Minimum Distribution calculations - Retirement Budget and Expense Planning - Retirement Income Analyzer - Retirement Savings Estimator - Risk Tolerance Profile - Roth 401k - Roth Conversion - Roth v. IRA illustrations - Short Term Savings goals - Social Security benefit estimates - Stretch IRA / Legacy IRA illustrations - Tax Free Yield calculamodel portfolio illustrations - asset allocation and portfolio optimization - portfolio management and value tracking - 401 (k) retirement savings - Cost of waiting to save - Effect of Taxes and Inflation - Estate Tax Estimator - Finding Money for your savings goals - Health Savings Account (HSA) illustrations - Historical Hypothetical Portfolio Performance - Impact of Inflation - Life Insurance Needs Analysis - IRA Eligibility (all types of IRAs)- IRA Savings and Goal Analysis - IRA Required Minimum Distributions (RMDs)- IRA to Roth Conversion - Long Term Care Insurance - Lumpsum Distributions vs. Rollover Distributions - Model Portfolio Creation and Comparisons - Mortgage Amortization - Net Unrealized Appreciation of Employer Stock - Net Worth Estimator - New Value Calculator - Pension / Defined Benefit Income estimates - Portfolio Allocation Rebalancing - Portfolio Optimization and «Advice» - Portfolio Return Calculations - Paycheck Tax Savings - Required Minimum Distribution calculations - Retirement Budget and Expense Planning - Retirement Income Analyzer - Retirement Savings Estimator - Risk Tolerance Profile - Roth 401k - Roth Conversion - Roth v. IRA illustrations - Short Term Savings goals - Social Security benefit estimates - Stretch IRA / Legacy IRA illustrations - Tax Free Yield calculaModel Portfolio Creation and Comparisons - Mortgage Amortization - Net Unrealized Appreciation of Employer Stock - Net Worth Estimator - New Value Calculator - Pension / Defined Benefit Income estimates - Portfolio Allocation Rebalancing - Portfolio Optimization and «Advice» - Portfolio Return Calculations - Paycheck Tax Savings - Required Minimum Distribution calculations - Retirement Budget and Expense Planning - Retirement Income Analyzer - Retirement Savings Estimator - Risk Tolerance Profile - Roth 401k - Roth Conversion - Roth v. IRA illustrations - Short Term Savings goals - Social Security benefit estimates - Stretch IRA / Legacy IRA illustrations - Tax Free Yield calculations

- retirement savings and income - Pre-59 1/2 72t Calculations (avoiding penalty tax)- college savings and 529 plan illustrations - college cost and tuition data - Coverdell education savings - risk profile questionnaires and quizes - model portfolio illustrations - asset allocation and portfolio optimization - portfolio management and value tracking - 401 (k) retirement savings - Cost of waiting to save - Effect of Taxes and Inflation - Estate Tax Estimator - Finding Money for your savings goals - Health Savings Account (HSA) illustrations - Historical Hypothetical Portfolio Performance - Impact of Inflation - Life Insurance Needs Analysis - IRA Eligibility (all types of IRAs)- IRA Savings and Goal Analysis - IRA Required Minimum Distributions (RMDs)- IRA to Roth Conversion - Long Term Care Insurance - Lumpsum Distributions vs. Rollover Distributions - Model Portfolio Creation and Comparisons - Mortgage Amortization - Net Unrealized Appreciation of Employer Stock - Net Worth Estimator - New Value Calculator - Pension / Defined Benefit Income estimates - Portfolio Allocation Rebalancing - Portfolio Optimization and «Advice» - Portfolio Return Calculations - Paycheck Tax Savings - Required Minimum Distribution calculations - Retirement Budget and Expense Planning - Retirement Income Analyzer - Retirement Savings Estimator - Risk Tolerance Profile - Roth Conversion - Roth v. IRA illustrations - Short Term Savings goals - Social Security benefit estimates - Stretch IRA / Legacy IRA illustrations - Tax Free Yield calculamodel portfolio illustrations - asset allocation and portfolio optimization - portfolio management and value tracking - 401 (k) retirement savings - Cost of waiting to save - Effect of Taxes and Inflation - Estate Tax Estimator - Finding Money for your savings goals - Health Savings Account (HSA) illustrations - Historical Hypothetical Portfolio Performance - Impact of Inflation - Life Insurance Needs Analysis - IRA Eligibility (all types of IRAs)- IRA Savings and Goal Analysis - IRA Required Minimum Distributions (RMDs)- IRA to Roth Conversion - Long Term Care Insurance - Lumpsum Distributions vs. Rollover Distributions - Model Portfolio Creation and Comparisons - Mortgage Amortization - Net Unrealized Appreciation of Employer Stock - Net Worth Estimator - New Value Calculator - Pension / Defined Benefit Income estimates - Portfolio Allocation Rebalancing - Portfolio Optimization and «Advice» - Portfolio Return Calculations - Paycheck Tax Savings - Required Minimum Distribution calculations - Retirement Budget and Expense Planning - Retirement Income Analyzer - Retirement Savings Estimator - Risk Tolerance Profile - Roth Conversion - Roth v. IRA illustrations - Short Term Savings goals - Social Security benefit estimates - Stretch IRA / Legacy IRA illustrations - Tax Free Yield calculaModel Portfolio Creation and Comparisons - Mortgage Amortization - Net Unrealized Appreciation of Employer Stock - Net Worth Estimator - New Value Calculator - Pension / Defined Benefit Income estimates - Portfolio Allocation Rebalancing - Portfolio Optimization and «Advice» - Portfolio Return Calculations - Paycheck Tax Savings - Required Minimum Distribution calculations - Retirement Budget and Expense Planning - Retirement Income Analyzer - Retirement Savings Estimator - Risk Tolerance Profile - Roth Conversion - Roth v. IRA illustrations - Short Term Savings goals - Social Security benefit estimates - Stretch IRA / Legacy IRA illustrations - Tax Free Yield calculations

«We believe this real time data analysis, ticketing, and response platform is the cornerstone of what differentiates SCWX and allows for a scalable business model that can handle the needs of today's biggest companies,» the JPMorgan report noted.

The data which Cobb cites in opposition to Sherburne's model — discrete impressions from the big toe, the ear drum, and so on — are not found in inattentive experience, but are rather the products of intellectual analysis.

Systems analysis, elaborate simulation techniques, automated access to central data banks, information theory, game Theory, and the use of socio - economic models, often mathematically stated, all aided and abetted by the computer, make possible a massive application of data not hitherto possible.

Data analysis and modelling will be key to all combination approaches on the production side.

On the other hand, sharps are typically defined as wise guys or betting syndicates who place large bets based on data analysis, historical trends and model building.

Individual growth curve models were developed for multilevel analysis and specifically designed for exploring longitudinal data on individual changes over time.23 Using this approach, we applied the MIXED procedure in SAS (SAS Institute) to account for the random effects of repeated measurements.24 To specify the correct model for our individual growth curves, we compared a series of MIXED models by evaluating the difference in deviance between nested models.23 Both fixed quadratic and cubic MIXED models fit our data well, but we selected the fixed quadratic MIXED model because the addition of a cubic time term was not statistically significant based on a log - likelihood ratio test.

Given the heterogeneity in the choice of outcome measures routinely collected and reported in randomised evaluations of models of maternity care, a core (minimum) data set, such as that by Devane 2007, and a validated measure of maternal quality of life and well being would be useful not only within multi-centre trials and for comparisons between trials, but might also be a significant step in facilitating useful meta - analyses of similar studies.

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

We differentiated between computational approaches (either based on volume data, such as the number of mentions related to a party or candidate or the occurrence of particular hashtags; or endorsement data, such as the number of Twitter followers, Facebook friends or the number of «likes» received on Facebook walls), sentiment analysis approaches, that pay attention to the language and try to attach a qualitative meaning to the comments (posts, tweets) published by social media users employing automated tools for sentiment analysis (i.e., via natural language processing models or the employment of pre-defined ontological dictionaries), and finally what we call supervised and aggregated sentiment analysis (SASA), that is, techniques that exploit the human codification in their process and focus on the estimation of the aggregated distribution of the opinions, rather than on individual classification of each single text (Ceron et al. 2016).

Ted Cruz and Marco Rubio chose opposite strategies in the weeks leading up to the early primaries, with Cruz basing his campaign on data analysis and voter modeling.

For example, the combination of computerised text analysis techniques and Big Data now allows us to model millions of texts in a matter of hours.

Processing the biological data at the deepest level, such as DNA base pairs, therefore only makes sense if this analysis can used to build models of biological processes and if the resulting predictions can be tested.

They've created an empirical model fed by careful analysis of 37 years of historical weather data.

The BRAF - resistant melanoma models available from Horizon have been highly characterized, including comprehensive patient histories, sequencing analysis data, and protein expression data.

Open platforms will give individuals access to data, models and analyses, so they can pose their own questions and find solutions.

Research in mathematical biology involves a constant iteration of model development, analysis, prediction, and comparison with data.

Medvigy and Jeong found that prediction modeling for the entire United States indeed improves dramatically when the analyses include data from macro-scale observations, meaning from multiple sites spread over a large area.

Richard Betts, head of climate impacts at the Hadley Centre of the U.K.'s Met office presented to reporters in Copenhagen today a new analysis of modeling data showing how conserving tropical forests is going to be crucial if the world is to make a target of 2 ˚C, even under the most conservative projections of how much carbon the forests contain.

«We need both, realistic model simulations and long - term data records, and really sophisticated analysis methods to produce reliable climate predictions.

But even if last year's tentative signals of the particle are confirmed, a fresh analysis of data from a particle accelerator in California suggests that this may not complete the standard model of physics.

The first year of mathematical ecology covers an introduction to data and the modeling and analysis of ecological populations and communities.

Because the drugs are illegal and data is extremely difficult to obtain, the participants relied on their collective knowledge and experience to score the drugs and a decision analysis model to aggregate the judgments.

The goals of the project include reconstructing extreme climate changes from the recent past (1894 - 2014), using historically referenced data to assess near - future global climate model projections, and to ultimately use this analysis to investigate ecological problems in Chesapeake Bay, such as eelgrass diebacks.

Researchers performed a meta - analysis of literature examining patients with NASH, and then tested their hypothesis using an animal model, which enabled them to eliminate possible confounders of the clinical data, such as antibiotic exposure and medical comorbidities.

You may also want to take a step back from your main findings by examining them in subgroups and anticipating reviewers» skepticism by presenting experiments, data analysis, or statistical models that quash errant disbelief.

We require that all computer code used for modeling and / or data analysis that is not commercially available be deposited in a publicly accessible repository upon publication.

Furthermore, the analysis of the Planck data also revealed small disruptions in gravity itself that are not completely consistent with the standard model of cosmology.

Bianchi conducted the data analysis and model development at McGill with assistant professor of earth and planetary sciences Eric Galbraith and McGill doctoral student David Carozza.

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.

Biomolecular model based on the gene expression data analyses support the reduction of glucose molecules (blue gradient) and acid buildup (gold gradient) proposed to occur in the boundary layer around the cell.

«We will develope a series of computational methods for drug combination prediction, modeling and data analysis.

The research applied Multivariate Regression Analysis combined with a Logit Model to the real data to identify statistically significant factors that have influenced voting preference simultaneously as well as the odds ratio in favour of Leave.

Ram and her collaborators — including Wenli Zhang, a UA doctoral student in management information systems, and researchers from the Parkland Center for Clinical Innovation — created a model that was able to successfully predict approximately how many asthma sufferers would visit the emergency room at a large hospital in Dallas on a given day, based on an analysis of data gleaned from electronic medical records, air quality sensors and Twitter.

The model, called COXEN (CO-eXpression gENe analysis), sorts through the massive genetic data of thousands of tumor samples to discover differences between tumors that responded and tumors that did not.

Computational genomics includes: bio-sequence analysis, gene expression data analysis, phylogenetic analysis, and more specifically pattern recognition and analysis problems such as gene finding, motif finding, gene function prediction, fusion of sequence and expression information, and evolutionary models.

But pharmacometrics — the modeling and statistical analysis of drug metabolism data — touts a more tailored, predictive approach to safety and efficacy.

The campaign is supported by ground - based measurements at various stations, analysis of satellite data, and model calculations.

To shed light on the mystery of Bornean elephant's origin, Chikhi and Goossens» team used genetic data analysis and computational modelling to study the past demographic history of these animals.

Despite large temperature increases in Alaska in recent decades, a new analysis of NASA airborne data finds that methane is not being released from Alaskan soils into the atmosphere at unusually high rates, as recent modeling and experimental studies have suggested.

Data analysis — and particularly big - data analysis — is often a matter of fitting data to some sort of mathematical moData analysis — and particularly big - data analysis — is often a matter of fitting data to some sort of mathematical modata analysis — is often a matter of fitting data to some sort of mathematical modata to some sort of mathematical model.