Evidence map›Paper›PMID 35815003›Full record

ArticleStatistics and its interface2022

Pathway Lasso: Pathway Estimation and Selection with High-Dimensional Mediators.

Yi Zhao, Xi Luo

Abstract read
In one paragraph

Article in Statistics and its interface, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

  1. Bayesian Image Mediation Analysis.Journal of the American Statistical Association · 2026
    Article
  2. Integrative Analysis of Multimodal Omics Data.Annual review of statistics and its application · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Mediation analysis with graph mediator.Biostatistics (Oxford, England) · 2025
    Article
  7. Article
  8. Causal mediation analysis: selection with asymptotically valid inference.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2025
    Article
  9. Article
  10. Article
  11. Mediation CNN (Med-CNN) Model for High-Dimensional Mediation Data.International journal of molecular sciences · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Speeding up interval estimation forbioRxiv : the preprint server for biology · 2024
    Article
  17. Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Yi ZhaoDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, 410 West 10th Street, Indianapolis, IN USA.
Xi LuoDepartment of Biostatistics and Data Science, The University of Texas Health Science Center at Houston, 1200 Pressler Street, Houston, TX USA.

Funding

Harm avoidance and incompleteness as dimensional endophenotypes in anxiety and OC spectrum disordersR01MH110449 · NIMH · BROWN UNIVERSITY · PI RASMUSSEN, STEVEN A · 2016 to 2021
$3.7M
Large-scale Network Modeling for Brain Dynamics: Statistical Learning and OptimizationR01EB022911 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI LUO, XI · 2016 to 2018
$1.2M
NIBIB NIH HHS R01 EB022911NIMH NIH HHS R01 MH110449
6 · The paper itself

Abstract

In many scientific studies, it becomes increasingly important to delineate the pathways through a large number of mediators, such as genetic and brain mediators. Structural equation modeling (SEM) is a popular technique to estimate the pathway effects, commonly expressed as the product of coefficients. However, it becomes unstable and computationally challenging to fit such models with high-dimensional mediators. This paper proposes a sparse mediation model using a regularized SEM approach, where sparsity means that a small number of mediators have a nonzero mediation effect between a treatment and an outcome. To address the model selection challenge, we innovate by introducing a new penalty called

Indexed as

Convex optimizationMediation analysisPath analysisStructural equation modeling

Identifiers

PMID35815003
PMCPMC9269990

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.