2006Journal of Evidence-Based MedicineRequires access

The Bonferroni Method for Multiple Comparisons

Li He

Open publisher page 7 citations

Abstract

When the differences of average levels among several groups are statistically significant, the multiple comparisons should be carried out. Using α=0.05 directly as significance level in comparison between each pair may result in too high typeⅠ error probability. Bonferroni method is one of the most common methods for multiple comparisons, which could reduce the accumulated typeⅠ error probability by adjusting α level. In this report, the fundamental principle of Bonferroni method is explained and examples are presented in some specific situations. This article is supposed to guide researchers to utilize Bonferroni method correctly in multiple comparisons.

About this research paper

What this paper is about

When the differences of average levels among several groups are statistically significant, the multiple comparisons should be carried out. Using α=0.05 directly as significance level in comparison between each pair may result in too high typeⅠ error probability. Bonferroni method is one of the most common methods for multiple comparisons, which could reduce the accumulated typeⅠ error probability by adjusting α level. In this report, the fundamental principle of Bonferroni method is explained and examples are presented in some specific situations. This article is supposed to guide researchers to utilize Bonferroni method correctly in multiple comparisons.

Why it matters

OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

When the differences of average levels among several groups are statistically significant, the multiple comparisons should be carried out. Using α=0.05 directly as significance level in comparison between each pair may result in too high typeⅠ error probability. Bonferroni method is one of the most common methods for multiple comparisons, which could reduce the accumulated typeⅠ error probability by adjusting α level. In this report, the fundamental principle of Bonferroni method is explained and examples are presented in some specific situations. This article is supposed to guide researchers to utilize Bonferroni method correctly in multiple comparisons.

Key concepts: Bonferroni correction, Statistics, Multiple comparisons problem, Type I and type II errors, Mathematics, Statistical significance

Related papers

Back to paper searchBrowse research topicsOriginal source
The Bonferroni Method for Multiple Comparisons — Research Paper | ScholarLens