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Activity Number: 45 - Nonparametric and Semiparametric Modeling for Complex Lifetime Data
Type: Contributed
Date/Time: Monday, August 3, 2020 : 10:00 AM to 2:00 PM
Sponsor: Lifetime Data Science Section
Abstract #312729
Title: Inverse Censoring Weighted Median Regression from Twice Censored Data
Author(s): Sundarraman Subramanian*
Companies: New Jersey Institute of Technology
Keywords: Curse of dimensionallity; Empirical likelihood; Local linearity; Measure preserving transformation; Minimum dispersion statistic; Subset inference
Abstract:

An adjusted least absolute deviation estimating function, founded on the inverse (probability of) censoring weighted approach, is proposed. Covariate-free left and right censoring is assumed. When left censoring is absent, the proposed estimating function reduces to its right-censored counterpart. Consistency and asymptotic normality of the estimator of the regression parameter are derived. Finite sample performance is investigated via simulations.


Authors who are presenting talks have a * after their name.

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