The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Pairwise Multiple Comparisons in the Homogeneous Variance, Unequal Sample Size Case
Abstract
The effect of unequal ni on the error rates of six procedures for pair-wise multiple comparisons beteen k treatment means with homogeneous variances was studied by computer simulation. A commonly used method, attributed to Kramer (1956) but suggested also by Tukey (1953), was found to have error rates less than the nominal value α for several patterns of inequality in the sample sizes, at least when the variations in ni were moderately large. A method that substitutes the harmonic mean sample size for n in Tukey's T method had excessively high error rates. Other methods proposed more recently in the literature were conservative relative to the Tukey-Kramer method. Thus, the Tukey-Kramer method is recommended for use in the unequal sample size, homogeneous variance situation.
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Cited by
Pairwise Multiple Comparisons in the Unequal Variance Case
Dunnett, C. W. (1980) · Journal of the American Statistical Association · doi:10.1080/01621459.1980.10477552 · Cited by 485
Self-citationHuang, Y., & Chi, H. (2012) · Insect Science · doi:10.1111/j.1744-7917.2011.01424.x · Cited by 408
Motor stereotypies in children with autism and other developmental disorders
GOLDMAN, S., WANG, C., SALGADO, M. W., GREENE, P. E., KIM, M., & RAPIN, I. (2009) · Developmental Medicine & Child Neurology · doi:10.1111/j.1469-8749.2008.03178.x · Cited by 306
The Efficiency of Simulation-Based Multiple Comparisons
Edwards, D., & Berry, J. J. (1987) · Biometrics · doi:10.2307/2531545 · Cited by 298
Pairwise multiple comparison procedures: A review.
Jaccard, J. J., Becker, M. A., & Wood, G. (1984) · Psychological Bulletin · doi:10.1037//0033-2909.96.3.589 · Cited by 271
Metadata
- Authors
- Dunnett, C. W.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 1980-12
- Volume
- 75
- Issue
- 372
- Pages
- 789-795
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W1984677369
- Cited by
- 377
- References
- 22
- FWCI
- 9.47
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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