Sentence examples for multiple significance testing from inspiring English sources
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.
More powerful procedures for multiple significance testing.
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.
This caution reflects the problem of multiplicity, which arises whenever multiple significance tests are conducted on a dataset.
After adjustment for multiple significance tests, one effect was statistically significant (average P-value was 0.61): the interaction between dopamine and climatic demands was significant for Openness/Intellect when measured with the OPQ (B = 0.34, P < 0.005).
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.
