1 citations · 3 across the 6 of their papers we have counts for
5 papers · 1 filter
A Unified Approach for Estimating Various Treatment Effects in Causal Inference
Kuan-Hsun Wu, Li-Pang Chen
In this paper, we introduce a unified estimator to analyze various treatment effects in causal inference, including but not limited to the average treatment effect (ATE) and the qu…
A New -Control Chart with Measurement Error Correction
Li-Pang Chen, Su-Fen Yang
Control charts are important tools to monitor quality of products. One of useful applications is to monitor the proportion of non-conforming products. However, in practical applica…
A note of feature screening via rank-based coefficient of correlation
Li-Pang Chen
Feature screening is useful and popular to detect informative predictors for ultrahigh-dimensional data before developing proceeding statistical analysis or constructing statistica…
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…
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…