The DOI matches its Crossref record.
New Tables for Multiple Comparisons with a Control
Abstract
Some time ago, a multiple comparison procedure for comparing several treatments simultaneously with a control or standard treatment was introduced by the present author (Dunnett [1955]). The procedure was designed to be used either to test the significance of the differences between each of the treatments and the control with a stated value 1 - P for the joint significance level, or to set confidence limits on the true values of the treatment differences from the control with a stated value P for the joint confidence coefficient. Thus the procedure has the property of controlling the experimentwise, rather than the per-comparison, error rate associated with the comparisons, in common with the multiple comparison procedures of Tukey [unpublished] and Scheffe [1953]. In the earlier paper, tables were provided enabling up to nine treatments to be compared with a control with joint confidence coefficient either .95 or .99. Tables for both one-sided and two-sided comparisons were given but, as explained in the paper, the two-sided values were inexact for the case of more than two comparisons as a result of an approximation which had to be made in the computations. The main purpose of the present paper is to give the exact tables for making two-sided comparisons. The necessary computations were done on a General Precision LGP-30 electronic computer, by a method described in section 3 below. The tables are given here as Tables II and III; these replace Tables 2a and 2b, respectively, of the previous paper. In addition to providing the exact values, a method is given for adjusting the tabulated values to cover the situation where the variance of the control mean is smaller than the variance of the treatment means, as occurs for example when a greater number of observations is allocated to the control than to any of the test treatments. Furthermore, the number of treatments which may be simultaneously compared with a control has been extended to twenty. 482
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Rank transformations as a bridge between parametric and nonparametric statistics
Conover, W. J., & Iman, R. L. (1981) · The American Statistician · doi:10.1080/00031305.1981.10479327 · Cited by 3,922
O'Neil, P. M., Birkenfeld, A. L., McGowan, B., Mosenzon, O., Pedersen, S. D., Wharton, S., Carson, C. G., Jepsen, C. H., Kabisch, M., & Wilding, J. P. H. (2018) · The Lancet · doi:10.1016/s0140-6736(18)31773-2 · Cited by 814
Chronic Leptin Infusion Increases Arterial Pressure
Shek, E. W., Brands, M. W., & Hall, J. E. (1998) · Hypertension · doi:10.1161/01.hyp.31.1.409 · Cited by 686
Amino acid assignment to one of three blood-brain barrier amino acid carriers
Oldendorf, W., & Szabo, J. (1976) · American Journal of Physiology-Legacy Content · doi:10.1152/ajplegacy.1976.230.1.94 · Cited by 594
Overview of Friedman’s test and post-hoc analysis
Pereira, D. G., Afonso, A., & Medeiros, F. M. (2015) · Communications in Statistics - Simulation and Computation · doi:10.1080/03610918.2014.931971 · Cited by 585
Metadata
- Authors
- Dunnett, C. W.
- Venue
- Biometrics
- Publisher
- JSTOR
- Published
- 1964-09
- Volume
- 20
- Issue
- 3
- Pages
- 482
- ISSN
- 0006-341X (ISSN-L)
- OpenAlex
- W1977226572
- Cited by
- 3,113
- References
- 0
- FWCI
- 6.64
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: New Tables for Multiple Comparisons with a Control. https://app.cochat.ai/papers/10.2307/2528490
- The paper
- Dunnett, C. W. (1964). New Tables for Multiple Comparisons with a Control. Biometrics. https://doi.org/10.2307/2528490
Data sources
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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.