Cited by 773Statistical Methods in Clinical TrialsStatistical Methods and ApplicationsStatistical Methods and Bayesian Inference

The Philosophy of Multiple Comparisons

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Tukey, John W.·1991·Statistical Science

Abstract

This paper is based on the 1989 Miller Memorial Lecture at Stanford University. The topic was chosen because of Rupert Miller's long involvement and significant contributions to multiple comparison procedures and theory. Our emphasis will be on the major questions that have received relatively little attention--on what one wants multiple comparisons to do, on why one wants to do that, and on how one can communicate the results. Very little attention will be given to how the results can be calculated--after all, there are books about that (e.g., Miller, 1966, 1981; Hochberg and Tamhane, 1987).

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  • In many cases, researchers aim to decide whether significant results are consistent or inconsistent with directional (dividing) hypotheses.

    “in many cases, researchers aim to decide whether significant results are consistent or inconsistent with directional (dividing) hypotheses”

    From Does preregistration improve the credibility of research findings? (2020) · cites this paper as Tukey, 1991, p. 100

    The Significance section (p. 1) says the first question should be whether researchers can confidently determine the direction of a difference—up, down, or uncertain. The Directions or Intervals section (p. 5) also discusses interest in confident directions. These passages support the directional focus, but they do not describe deciding whether significant results are consistent or inconsistent with “dividing” hypotheses. (LLM, conf=0.78)

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Research works printed but not linked: 5

  1. BRAUN, H. I. and TUKEY, J. W. (1983). Multiple comparisons through orderly partitions: The maximum subrange procedure. In Principals of Modern Psychological Measurement: A Festschrift for Frederic M. Lord (H. Wainer and S. Messick, eds.) 55–65. Erlbaum, Hillsdale, N.J.
  2. FisHER, R. A. (1926). The arrangement of field experiments. J. Min. Agric. G. Br. 33 503-513. (Also pages 83-94 in Volume 2 of his collected papers.)
  3. HocHBERG, Y. and TAmHANE, A. C. (1987). Multiple Comparison Procedures. Wiley, New York.
  4. KuíN, T. S. (1970). The Structure of Scientific Revolutions, 2nd ed. Foundations of the Unity of Science Series 2 (2) Univ. Chicago Press.
  5. MILLER, R. G. (1966). Simultaneous Statistical Inference, McGraw Hill, New York. (2nd ed., Springer, New York, 1981.)

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Authors
Tukey, J. W.
Corresponding author
Tukey, John W.
Venue
Statistical Science
Published
1991-02-01
Volume
6
Issue
1
Pages
100-116
ISSN
  • 0883-4237 (ISSN-L)
  • 2168-8745
OpenAlex
W2073997076
Cited by
773
References
0
Citations by year
2026: 14 · 2025: 31 · 2024: 32 · 2023: 26 · 2022: 34 · 2021: 54 · 2020: 44 · 2019: 37 · 2018: 37 · 2017: 25 · 2016: 25 · 2015: 31 · 2014: 21 · 2013: 31 · 2012: 37
FWCI
7.56
Type
journal article
Language
en
Open access
Locations
  • Statistical Science (publishedVersion)
  • Project Euclid (Cornell University) (submittedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Keywords
multiple comparisons, philosophy of statistics, statistical inference, communication of results, family-wise error rate, significance testing

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