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The chancellor's plan uses a more traditional statistical comparison between one school and another.
Hence, if one wants to explain an underlying process or mathematical framework that produces the relationships between the dependent and independent variables, it would be better to use a more traditional statistical model like regression analysis.
In this short review, we present the common idea behind these methods, describe ways of implementing and applying them and point out to the advantages compared to more traditional statistical approaches.
SOMs appear to do this better than more traditional statistical analyses.
Moreover, the R implementation allows the user to integrate this data-mining analysis into more traditional statistical analyses.
Furthermore SNPs selected from different chromosomal regions would have less LD amongst themselves, which may make interaction detection feasible with more traditional statistical approaches.
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To compare this result with a more traditional regression statistical analysis, we also performed a multivariate regression correlation analysis between the receptor occupancies (ROs) of each drug dose combination and their respective WM outcomes.
These experiments showed the progression from the earlier methodological approach used for measuring proficiency between novice and experienced programmers with CCT (more commonly called traditional statistical measures), to adopting a more comprehensive unidimensional scale that empowers comprehension of human performance and test item performance relative to each other.
In recent years, artificial neural networks (ANNs) have appeared as tools for clinical decision-making [ 7] and are potentially more successful than traditional statistical models in predicting clinical outcomes [ 8, 9].
Moreover, the artificial neural network (ANN) is potentially more successful than a traditional statistical model in predicting clinical outcome [ 19, 20].
Different other studies used data mining techniques to analyze road accident data and also claim that data mining techniques are more advanced and better than traditional statistical techniques [6 10, 21, 22].
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