Efficient Nonparametric Inference for Mediation Analysis with Nonignorable Missing Confounders

Jiawei Shan et al.

Journal of the American Statistical Association2026https://doi.org/10.1080/01621459.2026.2654218article
AJG 4ABDC A*
Weight
0.50

What the paper says

No abstract available.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1080/01621459.2026.2654218

Or copy a formatted citation

@article{jiawei2026,
  title        = {{Efficient Nonparametric Inference for Mediation Analysis with Nonignorable Missing Confounders}},
  author       = {Jiawei Shan et al.},
  journal      = {Journal of the American Statistical Association},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1080/01621459.2026.2654218},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Efficient Nonparametric Inference for Mediation Analysis with Nonignorable Missing Confounders

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.