Cited by 6Meta-analysis and systematic reviewsMultidisciplinary Science and Engineering ResearchStatistical Methods in Epidemiology

When a ‘significant’ correlation and a ‘non-significant’ correlation are not significantly different

Slater, Mark A., Klapow, Joshua C., Doctor, Jason N.·1992·Pain

Abstract

University of California at San Diego, San Diego Veterans Affairs Medical Center, and San Diego State University, San Diego, CAUSA ∗Correspondence to: Mark A. Slater, Ph.D., Director, Pain Management and Behavioral Medicine Program (116B), San Diego VA Medical Center, 3350 La Jolla Village Drive, San Diego, CA 92161, USA. (Received 12 November 1991; accepted 29 November 1991.) ☆ Preparation of this commentary and the data presented therein were supported in part by the Medical Research Program of the Department of Veterans Affairs.

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Crossref · 10.1016/0304-3959(92)90153-3

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  • That one association crosses the significance threshold but not the other does not inherently imply that their magnitudes are significantly different.

    “That one association crosses the significance threshold but not the other does not inherently imply that their magnitudes are significantly different (Slater, Klapow, and Doctor 1992).”

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Authors
Slater, M. A., Klapow, J. C., & Doctor, J. N.
Affiliations
San Diego State University (US)
Corresponding author
Slater, Mark A.
Venue
Pain
Published
1992-08
Volume
50
Issue
2
Pages
129-131
ISSN
0304-3959 (ISSN-L)
OpenAlex
W1987850816
Cited by
6
References
0
Citations by year
2024: 1
Type
journal article
Language
en
Open access
closed
Locations
  • Pain (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Multidisciplinary Science and Engineering Research
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Keywords
statistical power, sample size, effect size, statistical interpretation, pain research
MeSH terms
Humans, Pain, Pain Measurement

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