activity
20202026
most citedOn the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges

9 citations · 18 across the 9 of their papers we have counts for

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6 papers · 1 filter

stat.ME2026

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…

stat.ME2025

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…

stat.ME2022★ 1 cited

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…

stat.ME2022★ 3 cited

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…

stat.ME2021★ 3 cited

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…

stat.ME2020★ 1 cited

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…