EFFECT OF REGRESSION TO THE MEAN IN THE PRESENCE OF WITHIN-SUBJECT VARIABILITY

被引：40

作者：

JOHNSON, WD

GEORGE, VT

机构：

[1] Department of Biometry and Genetics, Louisiana State University Medical Center, New Orleans, Louisiana, 70112-1393

来源：

STATISTICS IN MEDICINE | 1991年 / 10卷 / 08期

关键词：

D O I：

10.1002/sim.4780100812

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Regression to the mean arises often in statistical applications where the units chosen for study relate to some observed characteristic in the extreme of its distribution. Gardner and Heady attribute the effect of regression to the mean to measurement errors. They assume the model Y(i) = U + e(i), where U is a fixed within-subject component and e(i) is the random measurement error. They suggest several replicate measurements to reduce the regression effect under the assumption that the measurement errors e, are independent within subjects. While measurement errors play an important role in regression to the mean, one should not overlook within-subject variation. In this paper, we consider a model to estimate the regression effect in the presence of correlated within-subject effects as well as independent measurement errors.

引用

页码：1295 / 1302

页数：8

共 11 条

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