Examples of 'bonferroni correction' in a sentence
Meaning of "bonferroni correction"
bonferroni correction: A statistical adjustment used to reduce the likelihood of Type I errors when multiple comparisons are being made
How to use "bonferroni correction" in a sentence
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bonferroni correction
Bonferroni correction was used when necessary.
These statistical tests included a Bonferroni correction.
Bonferroni correction is a method used to address the problem of multiple comparisons.
To confirm the results we applied the Bonferroni correction.
Bonferroni correction was.
Only fMAJ remained significant after Bonferroni correction.
The Bonferroni correction was used for multiple comparisons.
This association was significant also after Bonferroni correction.
A Bonferroni correction has been applied for multiple comparisons.
This method of correction is called the Bonferroni correction.
A Bonferroni correction was performed to adjust for multiple comparisons.
Further comparison were subject to Bonferroni correction.
The Bonferroni correction was used for identifying the differences.
Adjustments for repeated measures were performed with Bonferroni correction.
The Bonferroni correction was applied to account for multiple comparisons.
See also
This can be done using appropriate methods such as Bonferroni correction.
The Bonferroni correction was used to allow for post hoc comparisons.
Wilcoxons signed rank test was performed with Bonferroni correction.
Multiple test correction Bonferroni correction was performed for parametric tests.
Few of these associations remained significant after Bonferroni correction.
The Bonferroni correction is a statistical adjustment for the multiple comparisons.
The multiple comparison procedure utilized the Bonferroni correction method.
See the Bonferroni correction described below.
We do not see the rationale here for introducing a Bonferroni correction.
The p values were further corrected by Bonferroni correction to adjust for multiple hypothesis testing.
The association remained statistically significant after the application of Bonferroni correction.
It may be considered to use the simple Bonferroni correction or another suitable correction.
The tests were adjusted for all comparisons by means of the Bonferroni correction.
Bonferroni correction was used in order to control for type I errors.
Comparisons among the age groups were made by analysis of variance with Bonferroni correction.
An alternative to the Bonferroni correction is to control the false discovery rate FDR.
The authors of the original studies acknowledged few significant results after Bonferroni correction.
Where a Bonferroni correction is used, the Bonferroni-Holm correction is preferable.
The alpha level was adjusted according to the Bonferroni correction for multiple comparisons.
The Bonferroni correction was used to control the type 2 error rate.
Comparisons inside and between the groups were performed using the ANOVA test with Bonferroni correction.
To correct for multiple testing, the Bonferroni correction method was performed.
Data were analyzed using repeated-measures analysis of variance with Bonferroni correction.
These results, however, did not survive Bonferroni correction for multiple comparisons.
We presented results related to all intragroup comparisons after Bonferroni Correction.
Again, a Bonferroni correction was used to establish the significance level for each test.
P value is determined using Bonferroni Correction.
A x2 test with Bonferroni correction was used to assess significance in survival differences to hyperbaric exposures.
Test differences among the four levels of B using the Bonferroni correction.
In these cases the Bonferroni correction was applied at a significant level of 2.5.
In the multiple comparison analysis, Bonferroni correction was used.
Later, the Bonferroni correction was used for the comparisons post-hoc Table 1.
All p-values remained significant after a Bonferroni correction.
In these cases, the Bonferroni correction was applied at a significance level of 2.5.
However, the results were no longer significant after Bonferroni correction.
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Examples of using Bonferroni
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Bonferroni adjustment for multiple comparisons was performed
The results were evaluated by analysis of variance and bonferroni test p
Bonferroni post hoc tests were performed as indicated
Examples of using Correction
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The correction proposed was adopted see annex
Error error cause correction code type
Correction applied to individual measured test value
