Bonferroni correction
- noun
- /bɒnˈfɛrəni kəˈrɛkʃən/
- Specialized
:
corrección de Bonferroni
- To reduce the chance of a Type I error, the Bonferroni correction was used.
- using the Bonferroni correction
- Bonferroni correction for multiple comparisons
- comparisons using Bonferroni correction
Now there are good statistical techniques that exist for dealing with multiple hypothesis things like the Bonferroni correction.
- Now there are good statistical techniques that exist for dealing with multiple hypothesis things like the Bonferroni correction.
Examples
-
We applied Bonferroni correction for 26 tests, which adjusted the level of significance to 0.0019.
Academic text (2012) -
Five of these were significant when the Bonferroni correction of a level of 0.002 (0.05/22) was applied.
Academic text (2012) -
A multiple comparison analysis was performed using the Bonferroni correction.
Academic text (2018) -
As a robustness test, we applied the Bonferroni correction procedure again.
Academic text (2018) -
A post hoc Bonferroni correction technique was used to control for multiple comparisons.
Academic text (2012) -
In order to control type I error, the researcher used the Bonferroni correction by keeping the p-value at 0.99.
Academic text (2009) -
To reduce type-1 error, we applied Bonferroni corrections to all p-values.
Academic text (1995) -
In planned post hoc comparisons for significant main effects, we used a Bonferroni correction for multiple comparisons.
Academic text (2011) -
For this, we used ANOVAs, applying Bonferroni corrections for multiple comparisons.
Academic text (2012) -
To reduce the chance of false positives in our study, we applied the Bonferroni correction during our data analysis.
Surface Forms
Morphology
Bonferroni + correction
The noun 'correction' clearly signals an adjustment, so a B1 learner would likely infer this is a specific kind of adjustment named after a person. However, 'Bonferroni' is a proper name and gives no semantic information about the statistical purpose, and the crucial detail (that it reduces false positives in multiple comparisons) is domain-specific and not derivable from the parts, so the expression is only partially transparent.
Etymology
Bonferroni correction is named after a person, but think of it as sharing one small 'chance of error' among many tests. By giving each test a smaller share, the method makes 'false positives' less likely, so it is used when people do many comparisons.
