Cj. Kowalski et al., PC PROGRAM IMPLEMENTING AN ALTERNATIVE TO THE PAIRED T-TEST WHICH ADJUSTS FOR REGRESSION TO THE MEAN, International journal of bio-medical computing, 37(3), 1994, pp. 189-194
In many biomedical research contexts, treatment effects are estimated
from studies based on subjects who have been recruited because of high
(low) measurements of a response variable, e.g., high blood pressure
or low scores on a stress test, In this situation, simple change score
s will overestimate the treatment effect; and the use of the paired t-
test may find significant change due not to the treatment per se but,
rather, due to regression towards the mean. A PC program implementing
a procedure for adjusting the observed change for the regression effec
t in simple pre-test-post-test experiments is described, illustrated,
and made available to interested readers. The method is due to Mee and
Chua (Am Stat, 45 (1991) 39-42), and may be considered as an alternat
ive to the paired t-test which separates the effect of the treatment f
rom the so-called regression effect.