The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Multiple Comparison Procedures: The Practical Solution
Abstract
A practicing statistician looks at the multiple comparison controversy and related issues through the eyes of the users. The concept of consistency is introduced and discussed in relation to five of the more common multiple comparison procedures. All of the procedures are found to be inconsistent except the simplest procedure, the unrestricted least significant difference (LSD) procedure (or multiple t test). For this and other reasons the unrestricted LSD procedure is recommended for general use, with the proviso that it should be viewed as a hypothesis generator rather than as a method for simultaneous hypothesis generation and testing. The implications for Scheffé's test for general contrasts are also discussed, and a new recommendation is made.
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Citations
Cites
Multiple Range and Multiple F Tests
Duncan, D. B. (1955) · Biometrics · doi:10.2307/3001478 · Cited by 23,217
Comparing Individual Means in the Analysis of Variance
Tukey, J. W. (1949) · Biometrics · doi:10.2307/3001913 · Cited by 4,246
Journal of the Royal Statistical Society.
(1923) · The Economic Journal · doi:10.1093/ej/33.130.269 · Cited by 3,219
A METHOD FOR JUDGING ALL CONTRASTS IN THE ANALYSIS OF VARIANCE*
SCHEFFÉ, H. (1953) · Biometrika · doi:10.1093/biomet/40.1-2.87 · Cited by 1,705
A Bayes Rule for the Symmetric Multiple Comparisons Problem
Waller, R. A., & Duncan, D. B. (1969) · Journal of the American Statistical Association · doi:10.1080/01621459.1969.10501073 · Cited by 723
An Evaluation of Ten Pairwise Multiple Comparison Procedures by Monte Carlo Methods
Carmer, S. G., & Swanson, M. R. (1973) · Journal of the American Statistical Association · doi:10.1080/01621459.1973.10481335 · Cited by 692
A Bayesian Approach to Multiple Comparisons
Duncan, D. B. (1965) · Technometrics · doi:10.1080/00401706.1965.10490249 · Cited by 190
Pairwise multiple comparisons of treatment means in agronomic research
Carmer, S. G., & Walker, W. M. (1985) · Journal of Agronomic Education · doi:10.2134/jae1985.0019 · Cited by 188
The Appropriateness of Analysis of Variance and Multiple-Comparison Procedures
O’Brien, P. C. (1983) · Biometrics · doi:10.2307/2531110 · Cited by 150
The Present State of Multiple Comparison Methods
O'Neill, R. G., & Wetherill, G. B. (1971) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1971.tb00874.x · Cited by 146
Cited by
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
… and the Cross-Section of Expected Returns
Harvey, C. R., Liu, Y., & Zhu, H. (2016) · Review of Financial Studies · doi:10.1093/rfs/hhv059 · Cited by 2,119
Caloric restriction improves health and survival of rhesus monkeys
Mattison, J. A., Colman, R. J., Beasley, T. M., Allison, D. B., Kemnitz, J. W., Roth, G. S., Ingram, D. K., Weindruch, R., de Cabo, R., & Anderson, R. M. (2017) · Nature Communications · doi:10.1038/ncomms14063 · Cited by 838
Multiple comparisons: philosophies and illustrations
Curran-Everett, D. (2000) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.2000.279.1.r1 · Cited by 743
Applied MANOVA and Discriminant Analysis
Huberty, C. J., & Olejnik, S. (2006) · Wiley Series in Probability and Statistics · doi:10.1002/047178947x · Cited by 488
Metadata
- Authors
- Saville, D. J.
- Venue
- The American Statistician
- Publisher
- Informa UK Limited
- Published
- 1990-05
- Volume
- 44
- Issue
- 2
- Pages
- 174-180
- ISSN
- 0003-1305 (ISSN-L)
- 1537-2731
- OpenAlex
- W2063093012
- Cited by
- 696
- References
- 13
- FWCI
- 7.66
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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