| Autor: |
Gross, alden L., Sherva, Richard, Mukherjee, Shubhabrata, Newhouse, Stephen, Kauwe, John S.K., Munsie, Leanne M., Waterston, Leo B., Bennett, David a., Jones, Richard N., Green, Robert C., Crane, Paul K. |
| Zdroj: |
Neuroepidemiology; Jan2015, Vol. 43 Issue 3/4, p194-205, 12p, 1 Diagram, 4 Charts, 1 Graph |
| Abstrakt: |
Background: We sought to identify optimal approaches by calibrating longitudinal cognitive performance across studies with different neuropsychological batteries. Methods: We examined four approaches to calibrate cognitive performance in nine longitudinal studies of Alzheimer’s disease (AD) (n = 10,875): (1) common test, (2) standardize and average available tests, (3) confirmatory factor analysis (CFA) with continuous indicators, and (4) CFA with categorical indicators. To compare precision, we determined the minimum sample sizes needed to detect 25% cognitive decline with 80% power. To compare criterion validity, we correlated cognitive change from each approach with 6-year changes in average cortical thickness and hippocampal volume using available MRI data from the AD Neuroimaging Initiative. Results: CFA with categorical indicators required the smallest sample size to detect 25% cognitive decline with 80% power (n = 232) compared to common test (n = 277), standardize-and- average (n = 291), and CFA with continuous indicators [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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