Rate of cognitive change in Alzheimer's disease: Methodological approaches using random effects models

被引:24
作者
Gould, R
Abramson, I
Galasko, D
Salmon, D
机构
[1] Univ Calif Los Angeles, Dept Stat, Los Angeles, CA 90095 USA
[2] Univ Calif San Diego, Dept Math, San Diego, CA 92103 USA
[3] Univ Calif San Diego, Alzheimers Dis Res Ctr, San Diego, CA 92103 USA
关键词
BLUP; REML; MMSE; DRS;
D O I
10.1017/S1355617701777041
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
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 ace 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.
引用
收藏
页码:813 / 824
页数:12
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