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Rather than estimating p values, information-theoretic methods estimate statistics that quantify the magnitude of difference between models in expected predictive power (ΔAIC).
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We have tested the statistical significance of differences between populations, the predictive power of the variables, akin to their importance, and the expected predictive performance that may be achieved using the selected variables.
As expected, the predictive power the model was substantially lower for population 2 than population 1.
As expected, its predictive power increases with increasing level of non-neutral genetic diversity.
It was also expected that the predictive power of the variables would be enhanced by creating synthetic variables to represent more directly the risk of behaviours.
More complex events are likely to be harder to predict using the available background factors in the adjustment, so it was expected that the predictive power of the maintainability models was lower than of the mortality models measured using the c-statistics (Table 1).
If there is an underlying systematic (nonrandom) relationship between the Y- and X-matrices, a PLS model constructed on the randomly reordered Y-values (i.e., Y r) would be expected to exhibit predictive power that decreases (decreased Q) as corr[ Y1, Y r] decreases.
If one considers classroom attendance as a stable trait of a person (e.g., conscientiousness) and if only classroom attendance would predict exam sores, one would expect the same predictive power of advance quizzing in the classroom variable for both the memory and the perception exam.
As we highlighted above, we expected Wikipedia to offer predictive power in the case of swing voters rather than in the case of absolute vote share: and we already have descriptive evidence that this is the case from Figure 2.
In both organisms species specific genes are enriched in dispensable genes, as would be expected based on the predictive power of phyletic retention in identifying essential genes.
In this regard the MMR factors are particularly well conserved across evolution, which extends to preserving the same repair functions [ 43]: thus CGIs for each yeast gene might be expected to have strong predictive power for their mammalian orthologs.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com