Sentence examples for multiple testing issues from inspiring English sources

Since PCA can generate a single measure of intellectual performance, it sidesteps many of the multiple testing issues that arise in dealing with the full multiplicity of subtests.

Multiple testing issues are important in gene expression studies, where typically thousands of genes are compared over two or more experimental conditions.

Although we are positive in general about Bayesian statistical methods, we urge caution against viewing the Bayesian mixture approach (GCB), and more generally false discovery rates4,5,6, as a simple panacea to multiple testing issues.

Despite early concerns about multiple testing issues and power, GWA studies have brought the gene mapping successes for complex traits, which candidate gene studies were largely unable to deliver.

Importantly, the P-value threshold for significance is corrected for multiple testing issues.

This analysis method avoids multiple testing issues and improves statistical power compared to the conventional approach.

Multiple testing issues have been taken into account when determining the cutoff p-values.

It also helps prioritize tests of gene-gene interaction, which can limit multiple testing issues.

In contrast, a PPA of 0.6 is immediately interpretable irrespective of power or any multiple testing issues.

As small sample size (i.e. <1000 CAD cases) and multiple-testing issues due to subgroup analyses were likely factors in the disparity of the results, an appropriately powered study was warranted to better estimate the effect of the null allele on CAD risk.

In genome-wide analyses, we often face multiple-testing issues, and our results underscore the importance of working with a well-defined statistical framework to control the number of incorrect detections and increase the power of the study.