However, we obtain more powerful test procedures in many situations, using nonuniform kernels.
When bootstrap is utilized, however, a more powerful test than the bootstrapped D-W test can be designed.
We also find that using control groups, rather than a single control firm, yields more powerful test statistics.
More powerful tests specially designed for this situation can find genes with heterogeneous expressions associated with possible subtypes of the cancer.
Its statistical testing component contains a variety of Goodness-of-Fit tests, from Chi-squared to Kolmogorov-Smirnov, to less known, but generally much more powerful tests such as Anderson-Darling, Goodman, Fisz-Cramer-von Mises, Kuiper, Tiku.
A more powerful test for positive selection is provided by branch-site models, which test if certain codons are under selection in the foreground branch [19].
FDR is an alternative that controls the number of false positives that is equivalent to the Bonferroni method when there are no truly significant results; otherwise it is less conservative and therefore a more powerful test [46].
The identification of a subset of cases most likely to harbor disease-associated variants at a locus may permit the use of a more powerful test statistic that capitalizes on the hypothesized ordering of controls, cases, and select cases, with regard to the prevalence of rare variants.
A more powerful test for interaction between unlinked genes is a case-only test [ 16].
This polymorphism set provides the opportunity for a far more powerful test of population structure than the aforementioned microsatellite approach.
