First, we limited the analysis to members with at least two baseline years of data to better control for possible

regression to the mean effects.

The framework should generate savings estimates that can account for natural temporal change, selection bias, and subject-specific

regression to the mean effects and should be flexible enough to accommodate regular updates for the continued monitoring of PHM program effectiveness.

The second is

regression to the mean which suggests that subjects naturally revert toward the average, especially those subjects that are in the tails.

This dataset should give us an effective estimate of the amount of

regression to the mean we should expect after the Home Run Derby.

In order to estimate the amount of increase that would occur solely due to

regression to the mean, an estimate of the reliability of the multi-source ratings was needed.

Regression to the mean effects was observed, and probable values were estimated for individuals based on a Bayesian model.

On the other hand, the student who obtains the highest score is also the person whose test score at some later date is most likely to show the greatest amount of

regression to the mean.

The phenomenon of

regression to the mean means that society will have to redistribute social positions in each new generation if it is to make the fullest possible use of its human resources.

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.

6%) in year 1 and narrowed to a 6% difference in year 2 This

regression to the mean leads to a normalization of bone density results.

This is partly a statistical artifact known as

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.