PC program implementing an alternative to the paired t-test which adjusts for regression to the mean.
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 scores 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 effect 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 alternative to the paired t-test which separates the effect of the treatment from the so-called regression effect.
Kowalski
C J
CJ
Department of Biologic and Materials Sciences, University of Michigan, Ann Arbor 48109.
Schneiderman
E D
ED
Willis
S M
SM
D000293:Adolescent; D001794:Blood Pressure / Q000502:physiology; D016001:Confidence Intervals; D004521:Educational Measurement; D004522:Educational Status; D005431:Florida; D006801:Humans; D008432:Mathematical Computing; D008838:Microcomputers; D012044:Regression Analysis; D012984:Software; D012985:Software Design; D016896:Treatment Outcome