9 citations · 12 across the 7 of their papers we have counts for
9 papers
De-biased Distribution Estimation for Locally Differential Private Survival Data
Yi Xiong, Li-Pang Chen, Liyue Fan
Sharing time-to-event data can leak sensitive information about individual participants in clinical studies. To protect the privacy of data, differential privacy (DP) framework off…
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…
Text mining and sentiment analysis of COVID-19 tweets
Qihuang Zhang, Grace Y. Yi, Li-Pang Chen +1
The human severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2), causing the COVID-19 disease, has continued to spread all over the world. It menacingly affects not only pub…
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…
Semiparametric Estimation for Cure Survival Model with Left-Truncated and Right-Censored Data and Covariate Measurement Error
Li-Pang Chen
In this paper, we mainly discuss the cure model with survival data. Different from the usual survival data with right-censoring, we incorporate the features of left-truncation and…
Semiparametric Estimation for the Transformation Model with Length-Biased Data and Covariate Measurement Error
Li-Pang Chen
Analysis of survival data with biased samples caused by left-truncation or length-biased sampling has received extensive interest. Many inference methods have been developed for va…