Measurement Error and Methodologic Issues in Analyses of the Proportion of Variance Explained in Cognition.

ABSTRACT: Existing studies examining the predictive ability of biomarkers for cognitive outcomes do not account for variance due to measurement error, which could lead to under-estimates of the proportion of variance explained. We used data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) (N = 1084) to estimate the proportion of variance explained by Alzheimer's disease (AD) imaging biomarkers in four cognitive outcomes: memory, executive functioning, language, and visuospatial functioning. We compared estimates from standard models that do not account for measurement error, and multilevel models that do account for measurement error. We also examined estimates across diagnostic subgroups (normal, MCI, AD). Estimates of the proportion of variance explained from multilevel models accountin

SUBMITTER: Nichols E 

PROVIDER: S-EPMC12089424 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature