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
Published In/Presented At
Reed JF 3rd, Stark DB. Robust alternatives to traditional analysis of variance: Welch W*, James J I*, James J II*, Brown-Forsythe BF*. Comput Methods Programs Biomed. 1988 May-Jun;26(3):233-7. doi: 10.1016/0169-2607(88)90003-x. PMID: 3383561.
Disciplines
Medicine and Health Sciences
PubMedID
3383561
Department(s)
Department of Medicine
Document Type
Article