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404
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Wed, 8/5/2020,
1:00 PM -
2:50 PM
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Virtual
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Novel Methods for High-Dimensional and Large-Scale Survival Data — Topic Contributed Papers
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WNAR, Lifetime Data Science Section, ENAR
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Organizer(s): Ludovic Trinquart, Boston University School of Public Health
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Chair(s): Lexin Li, University of California, Berkeley
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1:05 PM
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Inference for High-Dimensional Censored Quantile Regression
Zhe Fei; Qi Zheng, University of Louisville; Hyokyoung (Grace) Hong, Michigan State University; Yi Li, University of Michigan
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1:25 PM
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A New Joint Screening Method for Right-Censored Time-to-Event Data with Ultra-High-Dimensional Covariates
Gang Li, University of California, Los Angeles
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1:45 PM
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Double-Slicing Assisted Sufficient Dimension Reduction for High-Dimensional Censored Data
Shanshan Ding, University of Delaware; Wei Qian, University of Delaware; Lan Wang, University of Minnesota
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2:05 PM
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ANALYZING LARGE SCALE RECURRENT EVENT DATA with a DIVIDE-AND-CONQUER APPROACH
Jerry Cheng, New York Institute of Technology
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2:25 PM
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Lights: A Generalized Joint Model for High-Dimensional Multivariate Longitudinal Data and Censored Durations
Simon Bussy, INSERM
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2:45 PM
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Floor Discussion
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