9 citations · 12 across the 7 of their papers we have counts for
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stat.ME2019
Variable selection and estimation for the additive hazards model subject to left-truncation, right-censoring and measurement error in covariates
Li-Pang Chen
High-dimensional sparse modeling with censored survival data is of great practical importance, and several methods have been proposed for variable selection based on different mode…
stat.ME2019
Iterated Feature Screening based on Distance Correlation for Ultrahigh-Dimensional Censored Data with Covariates Measurement Error
Li-Pang Chen
Feature screening is an important method to reduce the dimension and capture informative variables in ultrahigh-dimensional data analysis. Many methods have been developed for feat…