The number of probe sets with a statistically significant fold change was highly influenced by the filtering and the statistical testing settings.
This paper applies the statistical testing theory to examine the validity of different load parametric models.
Current research is on inference under partial identification and on the statistical testing of Revealed Preference conditions.
We study the statistical testing of random effects in the balanced incomplete block design by using the locally most powerful (LMP) rank test and some assumptions.
Moreover, with a view to show performance analysis of models, the statistical testing methods such as mean absolute percentage errors (MAPE), mean absolute bias error (MABE), root mean square error (RMSE) were used.
To find the optimum conditions of input variables, an accurate model is developed to predict the dehydration efficiency of agents based on the statistical testing of various models by the analysis of variance (ANOVA).
Prospective aspects of this study were the genotyping of patients with regard to the IRPs and the statistical testing of the prespecified genotype hypothesis.
So the statistical testing is set up so that the theory being tested is that the diet pills make no difference, that there's no effect from the diet pills.
Prospective aspects of this study are the genotyping of patients with regard to the IRPs and the statistical testing of the prespecified hypothesis regarding the interaction of IRP genotypes and DAA treatment on mortality.
A detailed treatise on the statistical testing procedure is found in Neale & Cardon [51].
This quantification of small-world-ness allows for the statistical testing of its presence in any given network.
