Analyzed and interpreted mathematical and scientific information and inputted it into a data bank and
performed statistical analyses using the data
Not exact matches
The
statistical analyses were
performed by
using SPSS 11.0 for Windows (SPSS Inc, Chicago, IL).
Statistical analysis was
performed using two methods.
Using clever statistical tests called mediation analyses to look at these interactions, the researchers found that aerobically fitter older men can perform better mentally than less fit older men by using the more important brain regions when ne
Using clever
statistical tests called mediation
analyses to look at these interactions, the researchers found that aerobically fitter older men can
perform better mentally than less fit older men by
using the more important brain regions when ne
using the more important brain regions when needed.
The researchers
used the data to
perform a
statistical analysis to identify the structural features of a catalyst and its substrate that correlated most clearly with reaction selectivity.
By
using meta -
analysis, an advanced
statistical technique that analyzes many studies at the same time, they
performed rigorous testing to determine whether the beneficial effect of adding biochar depends on geography.
Microsoft Excel 2003 was
used to
perform statistical analysis and two - tailed Student's t - test for determining the p - value.
Statistical analysis was
performed using ANOVA and unpaired two - tailed t test with GraphPad Prism software (La Jolla, CA).
All
statistical analyses were
performed using JMP software, v. 6.0.3 (SAS Institute).
Statistical analyses were
performed using SAS version 9.2 (SAS, Cary, North Carolina, United States).
All
statistical analyses were
performed with SPSS for Windows software (V9.0)
using a nonparametric test (the Kruskall - Wallis test) followed by post hoc
analysis (the Mann - Whitney U-test).
Statistical analyses were
performed using GraphPad Prism version 3.02 for Windows (GraphPad Software, San Diego California USA).
Statistical analyses were
performed using GraphPad Prism 6, JMP Pro, and R 3.2.
Statistical analyses of functional overrepresentation of genes that were contained or partially overlapped differentiated regions were
performed using DAVID 6.7 [75].
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].
Analysis of variance (ANOVA)
statistical comparisons were
performed using Statview Software (SAS Institute, Inc., Cary, NC, USA, http://www.jmp.com) with
statistical significance set at 0.05.
Statistical analysis was
performed using the Graphpad - Prism software package, Version 4.0.
Normalisation and
statistical analysis of microarray data was
performed in R
using the Bioconductor packages Limma, Affy and BeadExplorer.
Statistical analyses were
performed using Prism software (version 5, GraphPad Software).
Statistical analysis was
performed using SPSS 20 for Windows (Chicago, IL).
Data
analysis was performed using «SPSS» Statistical Analysis System S
analysis was
performed using «SPSS»
Statistical Analysis System S
Analysis System Software.
All
statistical analyses were performed using the SAS statistical package (Statistical
statistical analyses were
performed using the SAS
statistical package (Statistical
statistical package (
StatisticalStatistical..., 2006).
We
use cookies, including those by third parties, to improve our services, show you advertisements based on your preferences,
perform statistical analysis on our users» browsing behavior and simplify the interaction with social networks.
All
statistical analyses and graphics were completed
using the
statistical software SigmaPlot 11 (Systat software Inc, San Jose, CA), except for regression model fitting which was
performed using Matlab 2013 (Mathworks, Natick, MA).
In one method, a
statistical analysis of observational records was
performed (
using the KNMI Climate Explorer) to compare this summer's heat with summers during the early part of the century, before global warming played a significant role in our climate.
Finally, the
use of the non-quantitative word «dominant» allows readers to assume the IPCC meant at least 80 % or 90 % of warming, when the
statistical analysis was actually
performed for 50 %.
If that summary is correct, I would think, that to continue these
analyses in a meaningful way and assuming that the details of the more recent RCS algorithms will not be forthcoming, why not
use a consensus (amongst our
statistical minded participants here) best approach growth algorithm and see what kind of Yamal series results and how well it
performs through sensitivity testing.
All
statistical analyses were
performed using R.
''... real scientists engaged in real research have
used sound
statistical methods to investigate this topic; and what they typically find does not bode well for climate alarmists...
performed a series of
statistical analyses on these data, seeking to determine «whether the data set can reveal the degree to which islands in the Pacific are already seeing the impact of global climate change on the risk of severe flooding.»
9Because of the unbalanced nature of the data being analyzed (i.e., unequal numbers of observations for the different levels of the classification variables), the General Linear Models procedure in the
Statistical Analysis System was
used to
perform the
analyses.
However, in the present study, we estimate n obs
using the EOF
analysis explained in the next section, and then
perform the
statistical tests in Sect. 3.3.
The data were analysed
using a 2 (framing: loss vs. foregone - gain) × 3 (social norm: control vs. average - norm vs. rank - norm) between - participants
Analysis of Variance (ANOVA [37]-RRB-
performed using the anova function from the CAR package in the
statistical computing software R (
used for all subsequent
statistical analyses).
Performed multiple data
analysis duties, derived
statistical formulas by
using quantitative techniques and problem - solving skills
Planned, implemented, and maintained the front and back end components of a web application (
using MySQL, Python, HTML, JavaScript, and JQuery) that supported
statistical analysis of financial securities, allowed the user to filter over thousands of financial instruments, and
perform regression and volatility
analysis
Performed Data
analysis,
statistical analysis, generated reports, listings and graphs
using SAS / Base, SAS / Macro and SAS / Graph, SAS / Access, SAS / ODS.
Performed data
analysis using R
statistical software and results were interpreted according to relevant
IT Project Manager — Professional Highlights Serve multinational corporations in a variety of technology based strategic planning and administration roles Offer expertise as a consultant, programmer, engineer, business analyst, and database administrator Lead technology projects for NASA, U.S. Customs, American Express, and General Electric Design and implement reporting, customer service, marketing, sales, and financial management software Responsible for network and database design, administration, and security Oversee enterprise - wide hardware and software upgrades resulting in increased efficiency Minimize operational and manpower costs through effective technology solutions Serve as forecast budget analyst for Joint Project Management Operations at Kennedy Space Center Develop reporting application tool
using crystal reports engine on CD throughout Kennedy Space Center and Cape Canaveral Air Station resulting in $ 500,000 savings on user licensing fees Create detailed project plan with well - defined tasks, milestones, client sign - offs, test cycles, and specifications which served to communicate project progress to management Develop visual basic application for financial banking Institution
using crystal reports to reduce the company's response time resulting in initial reporting from 2 - 3 hours to just 45 seconds Oversee multimillion - dollar software implementation for Miami Air from a consultancy level Upgrade Great Plains software platform and administered security access for Miami internal databases Write over 200 SQL stored procedures from access databases for financial institutions Compose business correspondence and prepared
statistical spreadsheet
analysis for Kennedy Space Center Recognized by colleagues and superiors for outstanding job performance, reliability, and efficiency Conduct surveys of operations to assess needs and identify high priority improvements Complete major product releases meeting very aggressive schedules and budgets Serve as a member of the International Cyber Threat Task Force Utilize fluencies in English, Portuguese, Arabic, French, and German to communicate with a diverse clientele Continually study emerging technologies and industry best practices
Perform all duties with positivity, professionalism, and integrity
The
statistical analyses were
performed using STATA 13.1 (StataCorp, College Station, TX), and the confirmatory factor
analyses were
performed using LISREL 8.8.
All
statistical analyses were
performed by
using Stata (version 12.0).
Statistical analysis will be
performed using SAS V. 9.3 and MLwiN V. 2.6.
All behavioral
statistical analyses were performed using SPSS 16.0 (Statistical Packages for the Social Sciences, Version 16.0, SPSS Inc., USA) with a level of significance o
statistical analyses were
performed using SPSS 16.0 (
Statistical Packages for the Social Sciences, Version 16.0, SPSS Inc., USA) with a level of significance o
Statistical Packages for the Social Sciences, Version 16.0, SPSS Inc., USA) with a level of significance of p < 0.05.
Quintiles are shown for illustrative purposes; all
statistical analyses were
performed using continuous measures.
All
statistical analyses will be
performed using IBM SPSS Statistics and Mplus.
Descriptive
statistical analyses were
performed using SPSS (version 19.0, IBM).
All
analyses were
performed using the
Statistical Package for the Social Sciences (SPSS for Windows, version 14.0).
Tract - based spatial statistics (TBSS) was
used to
perform voxel-wise
statistical analysis of FA, MD, AD, and RD (Smith et al. 2007).