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researcher

Jingshen Wang

5 papers hereh-index 4100 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author3

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • stat.ME4
  • stat.AP1
same name
  • Jingshen Wang — 7 papers, h 5
  • Jingshen Wang — 2 papers, h 3
  • Jingshen Wang — 2 papers, h 3
  • Jingshen Wang — 2 papers, h 2
  • Jingshen Wang — 2 papers, h 2
  • Jingshen Wang — 1 paper, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212023
most citedSharp Inference on Selected Subgroups in Observational Studies

3 citations · 3 across the 5 of their papers we have counts for

collaborators
Showing stat.MEShow all

4 papers · 1 filter

stat.ME2023

Mediation Analysis with Mendelian Randomization and Efficient Multiple GWAS Integration

Rita Qiuran Lyu, Chong Wu, Xinwei Ma +1

Mediation analysis is a powerful tool for studying causal pathways between exposure, mediator, and outcome variables of interest. While classical mediation analysis using observati…

stat.ME2023

Winner's Curse Free Robust Mendelian Randomization with Summary Data

Zhongming Xie, Wanheng Zhang, Jingshen Wang +1

In the past decade, the increased availability of genome-wide association studies summary data has popularized Mendelian Randomization (MR) for conducting causal inference. MR anal…

stat.ME2023

Breaking the Winner's Curse in Mendelian Randomization: Rerandomized Inverse Variance Weighted Estimator

Xinwei Ma, Jingshen Wang, Chong Wu

Developments in genome-wide association studies and the increasing availability of summary genetic association data have made the application of two-sample Mendelian Randomization…

stat.ME2021★ 3 cited

Sharp Inference on Selected Subgroups in Observational Studies

Xinzhou Guo, Linqing Wei, Chong Wu +1

In modern drug development, the broader availability of high-dimensional observational data provides opportunities for scientist to explore subgroup heterogeneity, especially when…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.