pairwise comparison test

USAGE SUMMARY

The phrase "pairwise 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 by evaluating them in pairs. Example: "To determine which treatment was most effective, we conducted a pairwise comparison test among the different groups."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

16 human-written examples

Table 8 presents the results of Games and Howell's pairwise comparison test.

Journal of Industrial Engineering International

They analyze the results of a Pairwise Comparison test of images processed by different demosaicing algorithms.

EURASIP Journal on Advances in Signal Processing

One-way analysis of variance (ANOVA) was performed using Tukey's pairwise comparison test.

Applied Adhesion Science

If significant differences existed, Tukey Kramer's HSD (Honest Significant Difference) pairwise comparison test was used to determine multiple comparisons.

Chemical and Biological Technologies in Agriculture

Differences in radiographic and histological scores were analyzed using non-parametric Kruskall-Wallis one-way ANOVA on ranks with Dunn's pairwise comparison test.

EJNMMI Research

Only genes that satisfied the pairwise comparison test and displayed two-fold change in expression were selected for further study.

BMC Genomics

Human-verified similar examples from authoritative sources

Similar Expressions

44 human-written examples

Upon further testing pairwise comparison testing showed differences between baseline vs 15 minutes reperfusion (p = 0.011).

Plosone

Statistical significance was determined through analysis of variance (ANOVA) using Holm-Sidak or Tukey's multiple pairwise comparison tests (overall significance level = 0.05), using SigmaPlot v.11.0 software (Systat Software Inc., San Jose, CA, USA).

Plosone

Consequently, the NTP's pairwise comparison tests are subject to false-positive rates that exceed the nominal 0.05 level.

Environmental Health Perspectives

Significant differences and mean separations were carried out using Tukey's probability pairwise comparison tests (SAS, 2009).

BMC Veterinary Research

Pairwise comparison tests [ 50] were used to assess possible evolutionary correlations between habit and documented uses generally and medicinal uses specifically (dependent variables).

BMC Evolutionary Biology

Expert writing Tips

Best practice

When reporting results, specify the exact type of "pairwise comparison test" used (e.g., Tukey's HSD, Bonferroni, Games-Howell) to ensure clarity and reproducibility.

Common error

Avoid interpreting p-values from "pairwise comparison tests" in isolation. Always consider adjusting for multiple comparisons to control the family-wise error rate and prevent false positives.

Linguistic Context

The phrase "pairwise comparison test" functions as a noun phrase, typically used as a subject or object in a sentence. It describes a specific type of statistical analysis. As Ludwig AI confirms, this term is correct and suitable for use in written English.

Expression frequency: Common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

The phrase "pairwise comparison test" is a grammatically sound and frequently used term in statistical analysis, as confirmed by Ludwig AI. It refers to a method of comparing groups in pairs to identify significant differences. Predominantly found in scientific literature, its usage implies a formal and technical context. For clarity, it's essential to specify the exact type of test used. Alternatives include "paired comparison test" or simply "pairwise analysis", offering slight variations in emphasis. Remember to adjust for multiple comparisons to avoid misinterpreting p-values.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

paired comparison test

Replaces "pairwise" with "paired", emphasizing the two-element nature of the comparison. It is a straightforward synonym with high similarity.

pairwise analysis

Focuses on the analysis aspect, removing the explicit mention of "test". It broadens the context slightly while maintaining core meaning.

paired analysis

Similar to "pairwise analysis", this alternative uses "paired" rather than "pairwise".

multiple comparison test

Highlights the aspect of multiple comparisons, suitable when the pairwise nature is already understood.

post-hoc analysis

Specifies the timing of the analysis, i.e., after an initial test. This is only applicable if the "pairwise comparison test" is being used as a post-hoc test.

between-group comparison

Focuses on comparing different groups, omitting the "pairwise" aspect. Useful in a broader context but less precise.

comparative analysis

A general term for comparing different elements. Lacks the specific focus on pairs.

two-sample comparison

Highlights the comparison between two samples, implying a pairwise approach.

difference testing

Focuses on testing for differences between conditions or groups, without specifying the method.

statistical comparison

A very broad term that encompasses any statistical method used for comparing data.

FAQs

How is a "pairwise comparison test" used in statistical analysis?

A "pairwise comparison test" is used to compare all possible pairs of groups within a dataset, determining if there are statistically significant differences between them. It's often used after ANOVA to identify which specific groups differ.

What are some common types of "pairwise comparison tests"?

Common types include Tukey's HSD (Honestly Significant Difference), Bonferroni correction, Sidak correction, Games-Howell test, and Dunn's test. The choice depends on the data and assumptions.

When should I use a "pairwise comparison test" after ANOVA?

Use a "pairwise comparison test" after ANOVA if the ANOVA test shows a significant overall difference between groups. The "post-hoc analysis" helps pinpoint which specific pairs of groups are significantly different.

What's the difference between a "pairwise comparison test" and a t-test?

A t-test compares only two groups, while a "pairwise comparison test" compares multiple groups by evaluating them in pairs. Additionally, "multiple comparison tests" often adjust for multiple testing to control the error rate, which a standard t-test does not.