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This has been called the multiple testing problem or the problem of multiplicity [ 8].
To avoid multiplicity-testing problems, the secondary outcome variables are only reported descriptively as graphs or arithmetic means (SD) and with the 95% confidence interval (CI) for group differences.
These p values represent the p values corrected for multiplicity testing (see details in "Methods").
The significant cTFBSs with a p-value (corrected for multiplicity testing) < 0.05 were selected.
Analyzing large data sets can increase the error in significance testing (problem of multiplicity).
First, it faces the problem of multiplicity from multiple testing.
The use of full Bayesian statistics can account for problems of multiplicity due to multiple testing [ 24, 40, 41].
(This tests problem-solving).
Because of multiple testing, a 99%% confidence interval was applied to adjust for multiplicity.
However, such a simplified approach would neglect the problem of multiplicity of testing and statistical variation associated with each measurement.
The coking coal sector of the Indian coal-mining industry is riddled with a multiplicity of problems.
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