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In fact, if these methods are parameterized for the multiple-marker associations necessary for pharmacogenetics, then they will suffer from the 'curse of dimensionality' and lose a significant amount of statistical power (Bellman and Kalaba, 1959).
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Gjuvsland et al. [ 17] showed that gene regulatory networks generate significant amounts of statistical epistasis which depends on the type of feedback regulation involved.
This work is unique, relative to the existing work in the literature, because it: (a) focuses on a technologically relevant MMC system (2080/SiCp), (b) uses a combination of image analysis techniques to enable visualization and damage characterization, and (c) entails a significant amount of quantitative and statistical analyses of particle fracture and void growth in the composite.
However, they do require a significant amount of control samples in order to reach satisfying statistical power (n > 50).
A significant amount of variation was observed in these assays and statistical analyses (as described in the experimental procedures) were used to identify any significant modifications resulting from altered levels of Wwox.
Even if some of the above guesses turn out to have some bearing on media attention there will still be a significant amount of variation or "newsworthiness" that can't be explained by statistical factors.
Statistical studies show that BBFs carry significant amount of mass, energy, and magnetic flux earthward (Angelopoulos et al. 1994; Liu et al. 2011).
Gathering statistical data of influences can be a significant amount of work.
First, there was a significant amount of missing data due to death and inability to complete interviews, although we used novel statistical analyses to address these deficits.
Plugging them into a statistical model and running a multiple regression, these factors don't seem to explain a significant amount of variation, even when separating Greater Boston from the rest of the state of Massachusetts.
Merely depending on the statistical methods, to reveal the correlations between decisions and multi-dimensional data may require a significant amount of data.
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