A robust procedure for comparing multiple means under heteroscedasticity in unbalanced designs.

doi:10.1371/journal.pone.0009788

Back to search

Article

A robust procedure for comparing multiple means under heteroscedasticity in unbalanced designs.

PloS one - 29 Mar 2010

Herberich Esther, Sikorski Johannes, Hothorn Torsten

Abstract excerpt

Investigating differences between means of more than two groups or experimental conditions is a routine research question addressed in biology. In order to assess differences statistically, multiple comparison procedures are applied. The most prominent procedures of this type, the Dunnett and Tukey-Kramer test, control the probability of reporting at least one false positive result when the data are normally...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Environmental Microbiology

Share to False Positive Reactions

Share to Fatty Acids

Share to Models, Statistical

Share to Programming Languages

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Click a neighbor to travelStep 1 · 8 closest

A robust procedure for comparing multiple means under heteroscedasticity in unbalanced designs.PMID 20360960Read

Statistics: detecting differences among groups.Semantic proximity Read

Microarray data analysis: a hierarchical T-test to handle heteroscedasticity.Semantic proximity Read

[Evaluating the significance of differences between variants].Semantic proximity Read

Unequal group variances in microarray data analyses.Semantic proximity Read

A two-step multiple comparison procedure for a large number of tests and multiple treatments.Semantic proximity Read

Meta-analysis of ratios of sample variances.Semantic proximity Read

A note on P-values for two-sided tests.Semantic proximity Read

The role of statistical power analysis in quantitative proteomics.Semantic proximity Read