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To complement our analysis of dietary patterns, which are obtained through statistical modeling of empirical data to describe the dietary behaviors of the studied population, we examined the impact of the AHEI dietary guidelines.
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Statistical characterizations of empirical data are useful in QoS modeling to quantify risks without the need to conduct an ad-hoc measurement study.
While simulation models have explored the simultaneous roles of pollen vectors, field spacing, and adventitious plants on pollen-mediated gene flow rates [16], [17], statistical analyses of empirical data have not simultaneously quantified these effects.
From this point of view, empirical cross-validation in terms of new data and statistical modeling of the existing data can be seen as complementary rather than mutually exclusive ways of addressing the issue of bias in self-reports.
22, 23 Dynamic system models are not data-focused in the statistical sense of the word (they do not represent statistical associations among patterns of empirical data, such as structural equation models), but they describe mechanisms of the system studied.
Breitwieser, F. P. et al. General statistical modeling of data from protein relative expression isobaric tags.
We investigate the statistical modeling of hyper-spectral data.
Such information does not rely on signals transmitted from the particular object of interest to the instrument, but on the use of theoretical and statistical models to process empirical data about related objects.
An MBA and former president of the Ford Motor Company, McNamara pioneered an analytical style of policymaking that relied on the collection of empirical data and the application of statistical models to inform public choice.
The simulations, the selection of empirical data and the statistical analysis are described in the Methods section.
More comprehensive modeling of this effect is needed and collection of empirical data is warranted.
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