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A mathematical relationship between the predictive power of two variables and the correlation coefficient between them was the basic tool for the comparisons.
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The combination of two variables yielded the maximum predictive power with a mean AUC of 0.961 on the model set and 0.801 on the test set.
10 The prevalence and predictive power of the two variables assessing concerns about the OCP suggests that concerns may continue to have an important role in contraceptive choice, as has been observed in earlier studies in other contexts.
In fact, the predictive power of these three variables was substantial in modeling the number of weeks to DFU closure (c-statistic = 0.75).
The inclusion of these two variables does not add to the explanatory power of the model and were excluded.
In a comparative analysis of these two variables, BE measured after 24 hours of admission has the best discriminatory power to predict outcome.
This sample size provided sufficient power (>97%) to detect an association with 10 covariates in multiple regression analysis and permit exploration of interaction between two variables at a power of 94%.
But never doubt the power of ONE.
Believe in the power of one.
It's the power of one party.
Since there is only the differentiable structure, one may apply any diffeomorphism; that is, all diffeomorphisms preserve this structure; consequently, in the absence of a post-differential-topological structure, the microsymmetry group at any event \(p\) is an infinite-parameter group isomorphic to the group of all invertible formal power series in four variables.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com