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This advanced statistical tool readily overcomes sample size limitations often encountered by parametric statistical methods (e.g., logistic regression analysis).
It also requires quantitative analyses of mass, area, volume, size, and dimensional measures of such biological structures, which can be characterized by parametric statistical methods.
MDR is a data mining platform that readily overcomes sample size limitations often encountered by parametric statistical methods (e.g., LR analysis) by collapsing high-dimensional genetic data into a single dimension [ 33- 35].
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Although Figure 1 and 2 report these results using the parametric statistical method with higher deviation, this study also uses nonparametric statistical methods, such as the Mann-Whitney test, to double check these results, obtaining the same trend as the results using by parametric statistical method in this study.
This is too limited a size to ensure that parametric statistical methods used by the company are reliable.
Parametric statistical methods were utilized to achieve sufficient statistical power with small sample sizes (n < 4); Bonferonni post-hoc tests were used for pairwise comparisons.
"We'd hit the point where we could use parametric statistical methods"—enabling a highly flexible database that could easily expand and shift with new information.
This study proposes a computational learning approach in addition to parametric statistical methods along with a filtering mechanism, to build glaucoma genetic risk assessment model.
Before using parametric statistical methods to test for differences among groups, data were examined for deviations from assumptions for normality.
Parametric statistical methods are commonly employed despite ordinal measurements.
In addition, the primary efficacy variable was assessed using parametric statistical methods.
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