1 citations · 1 across the 4 of their papers we have counts for
4 papers
Heterogeneous Quantile Treatment Effect Estimation for Longitudinal Data with High-Dimensional Confounding-v2
Zhixin Qiu, Huichen Zhu, Wenjie Wang +1
Causal inference plays a fundamental role in various real-world applications. However, in the motivating non-small cell lung cancer (NSCLC) study, it is challenging to estimate the…
Hybrid Censored Quantile Regression Forest to Assess the Heterogeneous Effects
Huichen Zhu, Yifei Sun, Ying Wei
In many applications, heterogeneous treatment effects on a censored response variable are of primary interest, and it is natural to evaluate the effects at different quantiles (e.g…
Spatially Clustered Varying Coefficient Model
Fangzheng Lin, Yanlin Tang, Huichen Zhu +1
In various applications with large spatial regions, the relationship between the response variable and the covariates is expected to exhibit complex spatial patterns. We propose a…
Generalized Integrative Principal Component Analysis for Multi-Type Data with Block-Wise Missing Structure
Huichen Zhu, Gen Li, Eric F. Lock
High-dimensional multi-source data are encountered in many fields. Despite recent developments on the integrative dimension reduction of such data, most existing methods cannot eas…