Subtraction of serial scores, Least Squares Estimators, and
Best Linear Unbiased Predictors (BLUPs) were compared for
estimating rates of cognitive change for Mini-Mental State Exam
(MMSE) and Dementia Rating Scale (DRS) scores for 299 probable
Alzheimer's disease patients. The BLUPs provided cleaner
group estimates of subjects' intercepts and slopes and
are preferred. Regression analysis of the BLUP estimates of
rate of change indicated that steeper declines were associated
with higher levels of education and older age at onset. These
effects were much smaller than those due to estimated initial
cognitive test score. Differences in longitudinal metric
characteristics of the MMSE and DRS were found, with the DRS
yielding more precise change estimates. We discuss modeling
these longitudinal data, and discuss use of the estimates of
rate of change and intercept as data in their own right.
(JINS, 2001, 7, 813–824.)