Exact(4)
However, this approach is not yet widely applied, thus for demonstrative purposes we present significance levels for each relationship, and consider Bonferroni adjustments for multiple tests.
No adjustments for multiple tests are reported.
Adjustments for multiple tests, like Bonferroni correction, are needed for medical association studies but may create more problems.
Following common practice, no adjustments for multiple tests were made since (i) there are biological explanations for the null hypotheses to be rejected, and (ii) the results are meant to be exploratory, requiring further experimental confirmation.
Similar(56)
These analyses were adjusted for baseline stratification factors and were not subjected to any adjustments for multiple testing.
All tests should be understood as constituting exploratory data analysis, such that no adjustments for multiple testing have been made.
All tests should be understood as constituting exploratory analysis, such that no adjustments for multiple testing have been made.
No adjustments for multiple testing were performed.
Bonferroni adjustments for multiple testing negated all associations.
In the present study, Bonferroni adjustments for multiple testing negate all associations.
All tests should be understood as constituting exploratory data analysis, such that no adjustments for multiple testing were made.
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