Sentence examples for the multiple tests that from inspiring English sources

Given the multiple tests that were conducted, some associations may be attributable to chance.

However, given the multiple tests that were conducted, it is also possible that the finding is due to chance alone.

This study, termed arcOGEN, was the first GWAS to report multiple, independent association signals that replicated at a level considered significant after accounting for the multiple tests that are performed in a GWAS (P value < 5 × 10−8).

Routine diagnosis of amebic colitis requires multiple tests that are both time consuming and costly.

Genome-wide significant thresholds (all in the −log10 scale) were derived based on Bonferroni correction for multiple tests, that is, the 5% nominal P value corrected by the number of tests performed.

Similar to other statistical procedures, NEO is susceptible to the pitfalls of multiple testing that may inflate the false positive rate.

This approach can help to circumvent the problems of multiple testing that arise when investigating aetiological determinants of the richly characterized and complex phenotypes observed in large data sets such as ALSPAC.

Another clear limitation is the problem of multiple testing that may lead to spurious P-values and it is noteworthy that out of the all variants examined here, only associations with the TIMELESS variants rs7486220 in females and rs1082214 in males sustain after correction for the multiple testing.

The gene-based approach reduces the problems associated with multiple testing that inhibit GWAS by reducing the number of statistical tests under consideration.

In this way, we did not bias the eQTL discovery towards genes correlated with a particular trait at the expense of introducing multiple testing that when accounted for may result in less power.

The use of the published whole-genome arrays allowed us to classify more genes, but the classification may be less reliable due to the lower replication and the increased problem of multiple testing that weakens the statistical analysis.