Multiple comparison test

USAGE SUMMARY

The phrase "Multiple comparison test" is correct and usable in written English.
It is typically used in statistical analysis to refer to a method for comparing multiple groups or treatments to identify significant differences among them. Example: "To determine the effectiveness of the new drug, we conducted a multiple comparison test on the results from the clinical trials."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

LSD was used for multiple comparison test.

Procedia - Social and Behavioral Sciences

Friedman test followed by Dunn's multiple comparison test: CD4+CD8+ vs. CD4+CD45RA+ **p < 0.01.

Nature

*Significantly different from the pre-stress levels (30 min) p <.05 Newman-Keuls multiple comparison test.

Nature

One-way ANOVA and Tukey's post hoc multiple comparison test, p < 0.05.

Nature

Differences were determined by Fisher LSD multiple comparison test when treatment was significant.

Nature

Groups were compared by Student's t-test (unpaired), one-way ANOVA with tukey multiple comparison test.

Nature

The statistical significance of differences between two means was determined by one-way or two-way ANOVA with Bonferroni's multiple comparison test for comparison between treatments or Tukey's multiple comparison test.

Nature

For multiple comparisons, we used one-way analysis of variance (ANOVA) followed by a Dunnett's multiple comparison test, a Benferroni's multiple comparison test or two-way ANOVA followed with Bonferroni's post test.

Nature

Tumour multiplicity in all four groups were compared through a one-way ANOVA, followed by Tukey's multiple comparison test.

Nature

a-wave and b-wave amplitudes of ERG recordings were tested using 2-way ANOVA with Sidak's multiple comparison test.

Nature

When data passed the D'Agostino & Pearson omnibus normality test, ANOVA followed by Dunnett's multiple comparison test was used.

Nature

Expert writing Tips

Best practice

Use "Multiple comparison test" after ANOVA or similar tests to pinpoint where the significant differences lie between groups.

Common error

Don't forget to adjust the alpha level (e.g. using Bonferroni correction) when conducting a "Multiple comparison test" to control for the family-wise error rate and avoid false positives.

Linguistic Context

The phrase "Multiple comparison test" functions as a noun phrase referring to a specific statistical procedure. It is commonly used in scientific writing to describe methods for identifying significant differences between multiple groups after an initial analysis, as confirmed by Ludwig.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

The phrase "Multiple comparison test" is a statistically sound and commonly used term, primarily found in scientific literature. Ludwig confirms its correctness. It refers to a range of procedures used after initial statistical tests like ANOVA to pinpoint significant differences between groups. When using this phrase, remember to specify the exact test used (e.g. Tukey's or Bonferroni's) and be aware of the importance of adjusting the alpha level to avoid false positives. Alternative phrases include "post-hoc analysis" and "pairwise comparison test".

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Multiple comparisons procedure

Synonymous term for a set of statistical tests used to identify significant differences between multiple groups.

Post-hoc multiple comparison

Combines "post-hoc" and "multiple comparison" for emphasis.

Post-hoc analysis

Refers to tests conducted after ANOVA to determine which groups differ significantly.

Pairwise comparison test

Emphasizes the comparison of all possible pairs of groups.

Follow-up tests

A general term for tests performed after an initial statistical test.

Tests for pairwise differences

Highlights the focus on identifying differences between pairs of groups.

Analysis of variance follow-up

Highlights the connection to ANOVA and subsequent testing.

Inter-group comparison tests

Highlights the comparison among different groups.

Statistical tests for group differences

Focuses on tests designed to find differences among multiple groups.

Methods for multiple comparisons

A general term indicating different methods available.

FAQs

How do I use "Multiple comparison test" in a sentence?

You can use "Multiple comparison test" to describe a statistical procedure used to compare multiple groups after an ANOVA, as in: "We performed a "Multiple comparison test" to determine which groups differed significantly".

What is the purpose of conducting a "Multiple comparison test"?

A "Multiple comparison test" is used to identify which specific groups differ significantly from each other after an initial test like ANOVA indicates an overall difference among the groups.

Which "Multiple comparison test" should I use?

The choice of "Multiple comparison test" depends on the specific experimental design and assumptions. Common tests include Tukey's HSD, Bonferroni correction, and Dunn's test. Consult statistical resources to determine the most appropriate test for your data.

What are some alternatives to "Multiple comparison test"?

Alternatives include "post-hoc analysis", "pairwise comparison test", or "follow-up tests", depending on the context.