The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Statistics Notes: Some examples of regression towards the mean
Open accessAbstract
We have previously shown that regression towards the mean occurs whenever we select an extreme group based on one variable and then measure another variable for that group (4 June, p 1499).1 The second group mean will be closer to the mean for all subjects than is the first, and the weaker the correlation between the two variables the bigger the effect will be. Regression towards the mean happens in many types of study. The study of heredity1 is just one. Once one becomes aware of the regression effect it seems to be everywhere. The following are just a few examples. Treatment to reduce high levels of a measurement - In clinical practice there are many measurements, such as weight, serum cholesterol concentration, or blood pressure, for which particularly high or low values are signs of underlying disease or risk factors for disease. People with extreme values of the measurement, such as high blood pressure, may be treated to bring their values closer to the mean. If they are measured again we will observe that the mean of the extreme group is now closer to the mean of the whole population - that is, it …
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Cites
STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965
Self-citationStatistic Notes: Regression towards the mean
Bland, J. M., & Altman, D. G. (1994) · BMJ · doi:10.1136/bmj.308.6942.1499 · Cited by 547
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Cited by
Analysing controlled trials with baseline and follow up measurements
Vickers, A. J., & Altman, D. G. (2001) · BMJ · doi:10.1136/bmj.323.7321.1123 · Cited by 2,116
Self-citationRegression to the mean: what it is and how to deal with it
Barnett, A. G. (2004) · International Journal of Epidemiology · doi:10.1093/ije/dyh299 · Cited by 1,988
Lung-Function Trajectories Leading to Chronic Obstructive Pulmonary Disease
Lange, P., Celli, B., Agustí, A., Boje Jensen, G., Divo, M., Faner, R., Guerra, S., Marott, J. L., Martinez, F. D., Martinez-Camblor, P., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1411532 · Cited by 1,284
Delgado-Rodríguez, M., & Llorca, J. (2004) · Journal of Epidemiology and Community Health · doi:10.1136/jech.2003.008466 · Cited by 1,064
The Use and Interpretation of Quasi-Experimental Studies in Medical Informatics
Harris, A. D., McGregor, J. C., Perencevich, E. N., Furuno, J. P., Zhu, J., Peterson, D. E., & Finkelstein, J. (2006) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1749 · Cited by 1,023
Metadata
- Authors
- Bland, J. M., & Altman, D. G.
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 1994-09-24
- Volume
- 309
- Issue
- 6957
- Pages
- 780
- ISSN
- 0007-1447 (ISSN-L)
- 0959-8138
- 1468-5833
- OpenAlex
- W1620383244
- Cited by
- 384
- References
- 2
- FWCI
- 5.40
- Type
- journal article
- Language
- en
- Open access
- bronze
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