The color scale represents the value of the t statistic for the comparison between meals (n = 11) by using general linear
model analyses as described in Subjects and Methods.
Since the initial star images observed in the near - infrared (IR) bands were significantly blurred, we twice moved the secondary mirror for the focal adjustment based on the results of
model analyses as well as data analyses of the near - IR images.
Not exact matches
Published research focuses on the
analysis of market signals on entities and sectors,
as well
as on signal interpretation and
model analysis utilizing Moody's Analytics tools such
as Market Implied Ratings and Expected Default Frequencies.
To attribute the entire decline in stock yields to interest rates
as if it is a «fair value» relationship is to introduce a profound «omitted variables» bias into the whole
analysis, which is exactly what the Fed
Model does.
Their
models of linear development (most famously W.W. Roster's «five stages» of economic development) were gradually replaced by more complex
analyses of economies
as «systems», in which complex institutional constraints could distort or prevent convergence.
Musk's tone on the call illustrates the pressure for the
Model 3 to succeed if Tesla is to continue
as a company, Jessica Caldwell, executive director of industry
analysis at Edmunds, told CBS MoneyWatch.
As the result when I look at monte carlo
analysis I see notable improvments in the
models outcomes in scenerios where the mortgage is payed off — more certainty and less leverage.
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.
Most technical
analysis models are based on historical investor behavior, so it makes sense that they'd work well in a «pure» market like crypto but not
as much in today's robo - dominated, interest - rate - sensitive stock market.
In addition to facilitating communication between issuers and Glass Lewis, the new portal includes a «Frequently Asked Questions» section that provides issuers with a mechanism to obtain immediate answers to the most common inquiries,
as well
as a number of different documents, including summary guidelines and a description of our proprietary Pay - for - Performance
model, that provide detailed explanations of the various features included in Glass Lewis Proxy PaperTM
analyses.
A:
As described in more detail in «Equity Compensation
Analysis,» our analysis does not include a burn rate comparison or an absolute limit on total potential dilution; the display of «burn rate» and «run rate» in our analyses is for informational purposes and does not affect the scoring in our quantitativ
Analysis,» our
analysis does not include a burn rate comparison or an absolute limit on total potential dilution; the display of «burn rate» and «run rate» in our analyses is for informational purposes and does not affect the scoring in our quantitativ
analysis does not include a burn rate comparison or an absolute limit on total potential dilution; the display of «burn rate» and «run rate» in our
analyses is for informational purposes and does not affect the scoring in our quantitative
model.
Provide a foundation for more advanced
modeling courses such
as for Leveraged Buyout
Analyses, Mergers & Acquisitions, Equity or Debt issuance and other complex financial applications
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.
CALGARY, October 10, 2017 — Solium Capital Inc. («Solium»)(TSX: SUM), the leading provider of software -
as - a-service for global equity - based incentive plans, administration, financial reporting and compliance, today announced the acquisition of Capshare, a high - growth cloud platform for cap table management, electronic - share tracking,
modeling and waterfall
analysis, and compliance for private companies.
Actually he has time in so brief a space to analyze only one of these strands in some detail, and asks us to use this
analysis as a
model for completing the other two ourselves.
That is, an
analysis in some detail of one
model of the God / world relationship — that of the world or universe
as God's body — would mediate between concepts and praxis, between a theoretical and a practical orientation.
Both the ascetic saint and the detached sage, exalted in various hagiographies
as the true beacons for humanity, may in the final
analysis in themselves prove to be poor human
models, because they are, in spite of their perfection, incomplete human beings, static and unchanging.
But his key analytical
model here, presented
as a novel insight» that Progressivism was a movement of the middle class caught between perceived threats from the upper class above and the laboring and farming classes below» has been a commonplace of historiographical
analysis since the 1950s.
While the Christian's confession of Christ has provided the principal
model for the present
analysis, it also finds support in Mircea Eliade's discussion of theophanies or hierophanies in archaic religion, especially in their function
as ontophanies, manifestations of the «real.»
But what presents itself to his
analysis as the
model of an «actual entity» ought to be ontologically interpretable
as one entity.
Factors in the struggle of a people to exist
as a corporate body are set forth in the four - function paradigm of Talcott Parsons.10 Although the adequacy of his
analysis is challenged by other theories, especially those focused upon social change, 11 Parsons's
model provides a useful delineation of the actions implicated in a group's toil to perpetuate itself.
Fosdick's relationship with America's Jewish community was anything but easy, but Miller's
analysis of Fosdick's support for a binational state and the Jewish reaction to what was perceived
as his pro-Arab bias is a
model of a scholarly tightrope performance.
Mark brings his highly accomplished background in budgeting, forecasting, financial
modeling as well
as technical systems evaluation and
analyses to his role at Tavistock Restaurant Collection.
Because heterogeneity was substantial (defined
as an I2 > 50 %), we used an inverse variance DerSimonian - Laird random - effects
model for the meta -
analysis.
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.
Using financial
analysis techniques
as the backbone of your
model is exactly my «cup of tea.»
Regardless,
analyses like these are helpful
as a first stage to develop statistical
models and methods that can try to account for the correlation structure and randomness.
Through working with partners and collaborators such
as Arlington Heights Memorial Library, Northwest Community Healthcare, Arlington Heights Park District Parks Foundation, Wheeling Community Consolidated School District # 21, Prospect Heights School District # 23, Arlington Heights School District # 25, Village of Arlington Heights and the Arlington Heights Chamber of Commerce Wellness Committee, the process creates
analysis, and then moves to creating strategic concepts for improvement, future
modeling and surveillance of outcomes over time.
A confounding variable was defined for
analysis as one for which there was at least a 5 % difference in the regression coefficient estimates for type of feeding in regression
models with and without the potential confounding variable.
While some meta -
analyses of home visiting programs suggest that many types of home visiting programs can make a difference in reducing adverse outcomes such
as child maltreatment and childhood injuries, 14,15 meta -
analyses can produce misleading results if there are insufficient numbers of trials of programs represented in the cross-classification of home visiting target populations, program
models, and visitors» backgrounds.
women allocated to midwife - led continuity
models of care were more likely to be attended at birth by a known midwife (RR 7.04, 95 % CI 4.48 to 11.08; participants = 6917; studies = seven); however, the effect estimates for individual studies are highly variable,
as reflected in substantial statistical heterogeneity (Tau ² = 0.31; I ² = 94 %;
Analysis 1.15).
* Pregnancy risk status was included in the multivariable
analysis via the inclusion of a number of individual risk factors
as model covariates (see «Definitions» section and Table 3).
The
analysis was carried out using a logistic binary regression
model, with PPH
as the outcome variable and built using manual forward selection (with p < 0.05
as the cut - off).
Further comprehensive cost
analyses, including neonatal costs, will be reported elsewhere,
as will the results of a survey to assess the participants» experiences and satisfaction with the different
models of care.
As noted in the «methods» section, an argument could be made for including unplanned home births in the analysis, so as a sensitivity analysis the modelling was repeated, including the
As noted in the «methods» section, an argument could be made for including unplanned home births in the
analysis, so
as a sensitivity analysis the modelling was repeated, including the
as a sensitivity
analysis the
modelling was repeated, including them.
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.
The second process of
analysis used the element of Social Cognitive Theory and the Health Belief
Model as an analytical framework from which identified themes were considered.
We
modeled the association between early breastfeeding experiences and postpartum depression
as a complete case
analysis using logistic regression in SAS 9.1.
The following covariates were considered in this
analysis: household size
modeled as a categorical variable (categories), marital status (categories), race and ethnicity (categories), maternal age
modeled as a categorical variable (categories), parity (categories), education (categories), employment status (categories), maternal occupation (categories), and postnatal WIC participation.
Given the heterogeneity in the choice of outcome measures routinely collected and reported in randomised evaluations of
models of maternity care, a core (minimum) dataset, such
as that by Devane 2007, and a validated measure of maternal quality of life and wellbeing 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.
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).
How this
model works:
As with my
analyses of opinion poll figures in Ireland, constituency support estimates for different parties and groupings form the basis of the general approach taken with this
analysis.
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.
Modeling the worst To make that judgment, the NRC relies on computer modeling, the most recent of which is known as State - of - the - Art Reactor Consequence A
Modeling the worst To make that judgment, the NRC relies on computer
modeling, the most recent of which is known as State - of - the - Art Reactor Consequence A
modeling, the most recent of which is known
as State - of - the - Art Reactor Consequence
Analyses.
The NB activity in Alberta is far ranging, with such research
as self - assembled nanostructures (M. J. Brett), single - cell cancer
analysis (L. M. Pilarski), computational
modeling (D. Wishart), micro-total
analysis systems or lab on a chip (D. J. Harrison), cell identification and manipulation (K. Kaler), and microsystems and medical diagnostics (Backhouse).
It has served
as a
model system for genetic and biochemical
analysis of protein folding.
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.
The second - year course is more specialized and emphasizes topics such
as ecotoxicology, epidemiology, individual - based
models, or spatial
analysis of ecological systems.
Because the researchers found that CTLA4Ig was effective in suppressing hepatitis in this study, they suggest that CTLA4Ig should be among the therapeutic options investigated further
as a potential therapy for patients with severe acute hepatitis B. To this end, this animal
model is useful for virological and immunological
analysis of HBV infection.