regression toward the mean

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Noun1.regression toward the mean - the relation between selected values of x and observed values of y (from which the most probable value of y can be predicted for any value of x)
statistics - a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters
statistical method, statistical procedure - a method of analyzing or representing statistical data; a procedure for calculating a statistic
regression analysis - the use of regression to make quantitative predictions of one variable from the values of another
linear regression, rectilinear regression - the relation between variables when the regression equation is linear: e.g., y = ax + b
curvilinear regression - the relation between variables when the regression equation is nonlinear (quadratic or higher order)
References in periodicals archive ?
In addition, we made use of two years of cost and utilization data prior to program implementation, and thus addressed possible regression to the mean effects.
Longer follow-up periods can also help reduce any lingering effects of regression to the mean by continuing to measure group differences after the natural regression has occurred (Linden, Adams, and Roberts 2003).
One might believe that comparing "A" district schools to "F" district schools confounded the results because of regression to the mean.
Regression to the mean occurs when the scores on those bottom-ranked competencies increase from Time 1 to Time 2 because of a non-intervention related factor, namely, the unreliability of the assessment.
Regression to the mean effects was observed, and probable values were estimated for individuals based on a Bayesian model.
In addition to the usual threats to the validity of interventions to change health care, infection control interventions are particularly prone to regression to the mean (11).
This phenomenon has been previously described as regression to the mean (Welch, 1985).
Sorting through the data, he devised the key statistical concepts of correlation and regression to the mean.
Individuals were enrolled based on baseline disease activity, so changes could represent regression to the mean.
If there were no difference between the gains experienced by F schools and those among low-performing non-F schools, we might worry that regression to the mean was driving our results.
The long period of lowered admission rates throughout the program may be due to the increasing influence of the intervention or an effect of regression to the mean.