Sentence examples for multiple significance tests from inspiring English sources

This caution reflects the problem of multiplicity, which arises whenever multiple significance tests are conducted on a dataset.

The Bonferroni method was applied to allow for multiple significance tests with adjusted p-values <0.01 regarded as statistically significant.

We adjusted for multiple significance tests by applying a sequential Bonferroni adjustment within each of the clusters [20].

To control the inflated Type I error rate associated with multiple significance tests, the false discovery rate procedure developed by Benjamini and Hochberg was used to calculate adjusted p-values.

Multiple significance tests were conducted to identify the terminal nodes.

Corrections for multiple significance tests were performed using a sequential Bonferroni-type correction [ 57].

It could be argued that multiple significance testing would lead to several significant associations by chance alone.

Due to multiple significance testing, a p value < 0.01 was considered statistically significant.

Therefore, the problem of multiple significance testing that inflates the type 1 error rate in single SNP analyses does not apply to MDR analyses.

No adjustments were made for multiple significance testing [ 15].

No corrections were made for multiple significance testing.