My primary role at the Rotman Research Institute is to pursue collaborative research, integrating biostatistical methodology into multidisciplinary studies of human brain function. The overarching goal of my work is to explore the utility of statistical methods in generating knowledge about the human brain from complex data. Many measures of human brain physiology and function are distributed with specific patterns that may not match the theoretical foundations of many statistical methods. I investigate the impact of these discrepancies on the applicability of quantitative methods such as linear models for practical bedside tests of the ability to learn new information. I lead investigations into the implications of specific data patterns for indices that guide interpretation of multivariate covariance models and for measurements of distance for multivariate observations lying outside the rest of the sample. Another trajectory of my research targets characterization of changes in brain function using discrete multivariate methods as well as those underpinned by continuous functions.
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