Examples of 'multiple comparisons' in a sentence
Meaning of "multiple comparisons"
Multiple comparisons refers to the practice of conducting several statistical tests simultaneously, which increases the chances of finding false positive results. It is often used in research and data analysis to compare multiple groups or variables
How to use "multiple comparisons" in a sentence
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multiple comparisons
Bonferroni adjustment for multiple comparisons was performed.
Multiple comparisons and orthogonal contrasts.
An adjustment for multiple comparisons was not performed.
Bonferroni corrections were applied for multiple comparisons.
A few words on multiple comparisons tools.
No relationships survived corrections for multiple comparisons.
Using multiple comparisons to our advantage.
This is related to the multiple comparisons problem.
The multiple comparisons problem also applies to confidence intervals.
Analyses were not adjusted for multiple comparisons.
Multiple comparisons were not performed.
Bonferroni adjustments were made for multiple comparisons.
Multiple comparisons problem.
The p values were adjusted for multiple comparisons.
The issue of multiple comparisons is the most likely explanation for this finding.
See also
No adjustment has been made for multiple comparisons.
Multiple comparisons for the curves revealed significant differences among each pair of groups.
No adjustments for multiple comparisons were made.
None of these associations survived correction for multiple comparisons.
Any measurement requires multiple comparisons to ensure validity.
None of the associations were significant after correction for multiple comparisons.
Corrected for multiple comparisons.
These relationships remained significant following correction for multiple comparisons.
No corrections were made for multiple comparisons in evaluating safety data.
She notes the researchers did not correct for multiple comparisons.
Bonferroni s test was used for multiple comparisons to identify the groups distinct from the others.
Presented p values are fully corrected for multiple comparisons.
Tukey multiple comparisons procedure was used in phase II.
Multivariate tests for multiple comparisons.
Multiple comparisons post hoc were made using the Bonferroni test.
Comparing groups with multiple comparisons.
The Dunn test of multiple comparisons was used to assess differences between paired groups.
Data dredging is an example of disregarding the multiple comparisons problem.
The method of Bonferroni multiple comparisons was applied to find differences between the means.
The critical value was set to account for multiple comparisons.
P values were adjusted for multiple comparisons using the Bonferroni method.
To reduce the number of genes for the correction of multiple comparisons.
The Tukey test for multiple comparisons was used.
Analyses of tertiary endpoints did not include adjustments for multiple comparisons.
The multiple comparisons post hoc were carried out using the Bonferroni test.
Critical values were adjusted to take multiple comparisons into account.
The Dunnitt multiple comparisons test was used for comparison of data sets to a single control.
Let us focus now on the pairwise multiple comparisons section.
The Dunnett multiple comparisons test allows comparison of all samples to a single control group.
The investigators did not adjust for multiple comparisons statistically.
Multiple comparisons using Tukey test showed white subjects had better scores than pardo and black.
The study did not adjust for the multiple comparisons it made.
The tests for multiple comparisons were performed by Tukey or Dunn procedures.
Bonferroni correction is a method used to address the problem of multiple comparisons.
The Scheffé post hoc test for multiple comparisons was used to identify differences between means.
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Multiple avenues of organic and external growth
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Multiple charges from the fleet ahead
Examples of using Comparisons
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Other comparisons were undertaken by plotting and graphing
I just finished the comparisons this morning
Comparisons with forecasts and budgets are discussed
