A nested multiple testing strategy was applied, using the Benjamini-Hochberg P-value correction (P-value cut-off 0.05) to recognize significant differences in expression levels.
Table 5 shows the AUC under different weighting and multiple testing strategies.
Table 2 shows AUCs for five simulation models under different weighting and multiple testing strategies.
It would be interesting to assess the performance of this ad hoc proposal relative to other more established multiple testing strategies.
In the current context of multiple testing strategies, we analyzed how different testing services were rated, as well as the programme characteristics that facilitate testing in the opinion of persons attending a mobile rapid testing programme located on a central street on the limits of the gay district of Madrid.
The low quantities of DNA available from FFPE together with the time and costs associated with employing multiple testing strategies highlight a need for multiplexing technologies that allow a broader view of the whole cancer genome from one test, ensuring that patients are diagnosed, stratified appropriately and that correct therapies are employed in clinically relevant timeframes.
To avoid spurious inference, we adopted two multiple-test strategies.
Marchini et al. [23] have shown that, even considering a conservative multiple testing burden, strategies which explicitly examine interactions often have greater power to detect associations when the underlying model includes interactions as this approach can model the true genetic effect and Evans et al. [24] have examined the power of two-stage approaches to detect epistatic interactions.
Biogem encourages software development best practices by providing templates for documentation and multiple test driven development strategies; such as unit tests, behaviour driven development and a natural language parser for software specification (e.g. Chelimsky et al., 2010).
Figure 3 gives an example of a Bonferroni-based sequentially rejective multiple test procedures for the weighting strategy proposed in Example 1. Assume, for example, the unadjusted p-values p1=0.01, p2=0.005, p3=0.1, and p4=0.5.
