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Correlation, regression, and repeated data: Authors' reply

Open access
Persaud, R·1994·BMJ

Abstract

EDITOR, - J Martin Bland and Douglas G Altman's note on correlation, regression, and repeated measures draws attention to the problem of calculating a correlation coefficient based on repeated observations of the same subject.1 But they fall prey themselves to the common misjudgment of placing too much importance on the significance of the correlation coefficient. The basic problem is the way in which significance is calculated as the correlation coefficient is strongly affected by the number of cases for which there are pairs of data. If, for example, you have about 500 cases the correlation coefficient needs only to be 0.088 to be significant at …

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Metadata

Authors
Persaud, R.
Venue
BMJ
Publisher
BMJ
Published
1994-06-04
Volume
308
Issue
6942
Pages
1510.2
ISSN
  • 0007-1447 (ISSN-L)
  • 0959-8138
  • 1468-5833
OpenAlex
W2095329410
Cited by
159
References
0
Type
journal article
Language
en
Open access
green

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Persaud, R. (1994). Correlation, regression, and repeated data: Authors' reply. BMJ. https://doi.org/10.1136/bmj.308.6942.1510a

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