9 citations · 18 across the 9 of their papers we have counts for
9 papers
Simultaneous false discovery rate control in location families
Zijun Gao, Wenjie Hu, Qingyuan Zhao
When testing a number of statistical hypotheses using data from location families, it is often useful to control the false discovery rate (FDR) not just for hypotheses of the null…
CSTEapp: An interactive R-Shiny application of the covariate-specific treatment effect curve for visualizing individualized treatment rule
Yi Zhou, Yuhao Deng, Yu-Shi Tian +5
In precision medicine, deriving the individualized treatment rule (ITR) is crucial for recommending the optimal treatment based on patients' baseline covariates. The covariate-spec…
Identifying average causal effect in regression discontinuity design with auxiliary data
Xinqin Feng, Wenjie Hu, Pu Yang +2
Regression discontinuity designs are widely used when treatment assignment is determined by whether a running variable exceeds a predefined threshold. However, most research focuse…
Semiparametric Efficient Fusion of Individual Data and Summary Statistics
Wenjie Hu, Ruoyu Wang, Wei Li +1
Suppose we have individual data from an internal study and various summary statistics from relevant external studies. External summary statistics have the potential to improve stat…
Identification and estimation of treatment effects on long-term outcomes in clinical trials with external observational data
Wenjie Hu, Xiaohua Zhou, Peng Wu
In biomedical studies, estimating drug effects on chronic diseases requires a long follow-up period, which is difficult to meet in randomized clinical trials (RCTs). The use of a s…
A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems
Yan Lyu, Sunhao Dai, Peng Wu +7
Accurate recommendation and reliable explanation are two key issues for modern recommender systems. However, most recommendation benchmarks only concern the prediction of user-item…
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges
Peng Wu, Haoxuan Li, Yuhao Deng +6
Recently, recommender system (RS) based on causal inference has gained much attention in the industrial community, as well as the states of the art performance in many prediction a…
Model-Assisted Inference for Covariate-Specific Treatment Effects with High-dimensional Data
Peng Wu, Zhiqiang Tan, Wenjie Hu +1
Covariate-specific treatment effects (CSTEs) represent heterogeneous treatment effects across subpopulations defined by certain selected covariates. In this article, we consider ma…
Identifying effects of multiple treatments in the presence of unmeasured confounding
Wang Miao, Wenjie Hu, Elizabeth L. Ogburn +1
Identification of treatment effects in the presence of unmeasured confounding is a persistent problem in the social, biological, and medical sciences. The problem of unmeasured con…