The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Calculating correlation coefficients with repeated observations: Part 2—correlation between subjects
Open accessAbstract
In earlier Statistics Notes1 2 we commented on the analysis of paired data where there is more than one observation per subject. It can be highly misleading to analyse such data by combining repeated observations from several subjects and then calculating the correlation coefficient as if the data were a simple sample.1 The appropriate analysis depends on the question we wish to answer. If we want to know whether an increase in one variable within the individual is associated with an increase in the other we can calculate the correlation coefficient within subjects.2 If we want to know whether subjects with high values of one variable also tend to have …
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Cites
Correlation, regression, and repeated data: Authors' reply
Persaud, R. (1994) · BMJ · doi:10.1136/bmj.308.6942.1510a · Cited by 159
Boyd, O. F., Mackay, C. J., Lamb, G., Grounds, R. M., Bennett, E., & Bland, J. M. (1993) · The Lancet · doi:10.1016/0140-6736(93)90005-2 · Cited by 118
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“Each participant produces a set of data points that is used to calculate a within-subjects correlation for that participant, which can then be averaged across the participants in a group (Bland & Altman, 1995a).”
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Metadata
- Authors
- Bland, J. M., & Altman, D. G.
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 1995-03-11
- Volume
- 310
- Issue
- 6980
- Pages
- 633
- ISSN
- 0007-1447 (ISSN-L)
- 0959-8138
- 1468-5833
- OpenAlex
- W1494341793
- Cited by
- 1,082
- References
- 2
- FWCI
- 15.24
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Bland, J. M., & Altman, D. G. (1995). Calculating correlation coefficients with repeated observations: Part 2—correlation between subjects. BMJ. https://doi.org/10.1136/bmj.310.6980.633
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