Biostatistics Student Seminar: Adam Elder

Presentation: Variable Screening using Non-Linear Association Measures

Speaker: Adam Elder, Graduate Student, UW Biostatistics

Abstract: Suppose one observes a collection of covariates and an outcome, and wishes to test whether the outcome is associated with any of the covariates, as quantified by a user-specified association measure. We develop a method to test this sharp null using, as test statistic, the L_p norm of the vector of covariate-specific association estimates. For any fixed p, we propose a test with valid type I error control whenever asymptotically linear estimators of the association measures are used. We are currently developing a method to data-adaptively determine the value of p that maximizes power while maintaining type I error control.

Wed, Jan 31, 2018, 3:30pm to 5:00pm
Room F-643 (HSF)

Student Coordinators: Phuong Vu, Arjun Sondhi, and Tyler Bonnett