Event Time Analysis of Longitudinal Neuroimage Data.
M.R.Sabuncu, J.Bernal-Rusiel, M.Reuter, et al.
NeuroImage 97:9-18, 2014.
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This paper presents a method for the statistical analysis of the associations between longitudinal neuroimaging measurements, e.g., of cortical thickness, and the timing of a clinical event of interest, e.g., disease onset. The proposed approach consists of two steps: (i) a linear mixed effects (LME) model to capture temporal variation in serial imaging data and (ii) the extended Cox regression model to examine the relationship between time-dependent imaging measurements and the timing of the event of interest. We provide a quantitative and objective empirical evaluation of the statistical performance of the proposed method on longitudinal data from subjects suffering from Mild Cognitive Impairment (MCI) at baseline. hide |