Longitudinal & Multivariate Data

Longitudinal data are repeated measurements collected on each unit at several time points during the observation period. Special statistical methods (e.g., Generalized Estimating Equations (GEE) and Mixed-Effects models) are required to analyze these non-independent data to appropriately adjust for the underlying covariance and correlation structures. Multivariate statistical methodology involves detecting, analyzing, and characterizing associations among multidimensional data. Related supervised or unsupervised techniques are mainly concerned with the dimension reduction of a system. Center faculty conduct extensive research on novel statistical techniques for analyzing longitudinal and multivariate data.

Stavroula Chrysanthopoulou Roberta DeVito Joseph Hogan
George Papandonatos Christopher Schmid  
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