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IJE Advance Access originally published online on September 2, 2005
International Journal of Epidemiology 2005 34(6):1368-1369; doi:10.1093/ije/dyi186
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Published by Oxford University Press on behalf of the International Epidemiological Association © The Author 2005; all rights reserved.

Commentary

Commentary: Over-correction for regression dilution bias? Not for blood pressure vs coronary heart disease

Richard W Morris1,* and Jonathan R Emberson2

1 Department of Primary Care and Population Sciences, Royal Free and University College Medical School, Royal Free Campus, Rowland Hill Street, London NW3 2PF, UK.
2 University of Oxford, CTSU, Oxford OX2 6HE, UK.

* Corresponding author. E-mail: r.morris@pcps.ucl.ac.uk

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In 1886 Francis Galton showed that children of tall parents tended to be shorter than their parents on average and that children of short parents tended to be taller than their parents on average, a phenomenon he originally called ‘regression to mediocrity’, but which we now know as ‘regression to the mean’.1 Regression to the mean is well recognized by epidemiologists because of its effect on estimating risk factor–disease associations; unusual or extreme values tend upon re-measurement to be followed by less extreme values, and hence the strength of the . . . [Full Text of this Article]


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