Jun Zhang of the Department of Biostatistics defends her dissertation on "Interpretable Analysis of Multivariate Functional Data".
The Joint Statistical Meetings, known simply as "JSM", is the largest gathering of statisticians held annually in North American. Faculty and student presenters from the Department of Biostatistics regularly participate giving invited talks, contributed talks, and poster presentations. Our students often receive top awards and participate in the affiliated career marketplace at the event.
Meetings of the Eastern North American Region of the International Biometric Society (a.k.a. "ENAR meetings") are held in late March or early April each year and reflect the broad interests of the Society, including both quantitative techniques and application areas. Faculty and student presenters from the Department of Biostatistics regularly participate giving invited talks, contributed talks, and poster presentations.
Statistical Matching for Data Fusion of Complex Phenotypes
The statistical matching problem involves data fusion with structured missing data. In a canonical version of the problem, there are two datasets A and B, and three sets of variables X, Y, and Z. Dataset A contains observations on the (X, Y) variables, and dataset B contains observations on the (X, Z) variables. A common goal in the statistical matching problem is to impute the missing values in each dataset in order to synthesize a dataset with all the variables (X, Y, Z). We use model-based statistical matching for fusion of complex phenotypes by extending to high-dimensional non-Gaussian data.
Last Updated On Tuesday, April 2, 2019 by Tang, Lu
Created On Monday, January 7, 2019
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