Title

Robust alternatives to traditional analysis of variance: Welch W*, James J I*, James J II*, Brown-Forsythe BF*.

Publication/Presentation Date

5-1-1988

Abstract

Contaminated data sets commonly appear in biomedical sciences. Traditional statistical analyses are based on a 'normality' assumption and homogeneity of variances assumption. If either or both assumptions are violated, traditional statistical procedures may give an inflated type I error rate and are then not robust. Robust alternatives to traditional one-way analysis of variance have better power curves and protect against inflated type I error rates.

Volume

26

Issue

3

First Page

233

Last Page

237

ISSN

0169-2607

Disciplines

Medicine and Health Sciences

PubMedID

3383561

Department(s)

Department of Medicine

Document Type

Article

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