With the rapid growth of modern technology, many biomedical studies have collected data across different sources (e.g., imaging, genetics, and clinical) in an unprecedented scale. The integration of such ultra-high dimensional data raises many statistical challenges, rendering most existing statistical methods and old data platform no longer suitable and thus underscoring the great need for methodological developments from a rigorous perspective. To address these challenges, I will highlight several key statistical opportunities and strategies in big data integration and analysis through several interrelated projects.
Last Updated On Wednesday, September 13, 2017 by Haydo, Amber LC
Created On Wednesday, September 13, 2017
Biostatistics Seminar guest speaker, Shuangge Steven Ma, PhD, Yale School of Public Health, will present, "Integrating multidimensional omics data for cancer prognosis."
Biostatistics Seminar speaker, Kaleab Abebe, PhD, Associate Professor, Dept. of Medicine and Biostatistics, University of Pittsburgh, will present, "Carving out a niche in clinical trials as a collaborating (bio)statistician."
NOTE: Biostatistics Student Awards Ceremony will be conducted before the seminar – ceremony starts at 3 pm.
Biostatistics Seminar speaker, Ali Shojaie, PhD, Associate Professor, Dept. of Biostatistics, University of Washington, will present, “Flexibility in High Dimensions: Sparse Additive Models with Adaptive Truncation via a Convex Hierarchical Penalty”.
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