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Significance of Dunnett's post hoc test

Dunnett's post hoc test is a statistical method performed after one-way ANOVA to identify which specific group means differ from each other. This test is essential for analyzing study data and determining the significance of the results, allowing researchers to draw meaningful conclusions about the differences between various groups.

Synonyms: Dunnett's test, Multiple comparison test, Post hoc analysis, Pairwise comparison, Statistical analysis, Post-hoc analysis, Mean comparison

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The concept of Dunnett's post hoc test in scientific sources

Science Books

Dunnett's post hoc test is a statistical method utilized after one-way ANOVA to identify significant differences between specific group means, thereby helping to analyze and interpret study results effectively.

Significance in Scientific journals, articles, etc.:

From: Journal of Ayurveda and Integrative Medicine

(1) A statistical test performed after one-way ANOVA to find which specific group means are different, applied in analyzing the results.[1] (2) A statistical method used to analyze the data collected in the study to determine the significance of results.[2]

This section includes scientific research in the field of healthcare, often involving traditional medicine systems such as Ayurveda, Unani, Siddha and Holistic health. It includes papers from scientific journals classified as either original, clinical or experimental research, review articles or case reports.