Evidence map›Paper›PMID 39328363›Full record

ArticleThe annals of applied statistics2024

MASH: MEDIATION ANALYSIS OF SURVIVAL OUTCOME AND HIGH-DIMENSIONAL OMICS MEDIATORS WITH APPLICATION TO COMPLEX DISEASES.

Sunyi Chi, Christopher R Flowers, Ziyi Li, Xuelin Huang, Peng Wei

Abstract read
In one paragraph

Article in The annals of applied statistics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  6. Speeding up interval estimation forbioRxiv : the preprint server for biology · 2024
    Article
  7. Article
  8. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Sunyi ChiDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Christopher R FlowersDepartment of Lymphoma, The University of Texas MD Anderson Cancer Center, Houston, USA.
Ziyi LiDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Xuelin HuangDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Peng WeiDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Funding

University of Texas M.D. Anderson Cancer SPORE-LeukemiaP50CA100632 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI KONOPLEVA, MARINA Y · 2003 to 2023
$43.7M
UPR/MDACC Partnership for Excellence in Cancer Research (Luis Segarra supplement)U54CA096300 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SHARON Hermes GIORDANO, Paul A Scheet · 2002 to 2026
$23.8M
The University of Texas MD Anderson Cancer Center SPORE in Hepatocellular CarcinomaP50CA217674 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI YAO, JAMES C · 2019 to 2023
$11.3M
Comparative Modeling: Informing Breast Cancer Control Practice & PolicyU01CA152958 · NCI · GEORGETOWN UNIVERSITY · PI BERRY, DONALD A, DE KONING, HARRY J · 2010 to 2015
$7.6M
Association analysis of rare variants with sequencing dataR01HL116720 · NHLBI · UNIVERSITY OF MINNESOTA · PI PAN, WEI, WEI, PENG · 2013 to 2020
$3.3M
Optimizing treatment decision by accounting for longitudinal biomarker trajectories and competing risks of each individualR01CA272806 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Xuelin Huang · 2023 to 2026
$1.5M
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
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NCI NIH HHS P50 CA100632NCI NIH HHS P50 CA217674NCI NIH HHS R01 CA272806NCI NIH HHS U01 CA152958NCI NIH HHS U54 CA096300NHLBI NIH HHS N01 HC025195NHLBI NIH HHS R01 HL116720
6 · The paper itself

Abstract

Environmental exposures such as cigarette smoking influence health outcomes through intermediate molecular phenotypes, such as the methylome, transcriptome, and metabolome. Mediation analysis is a useful tool for investigating the role of potentially high-dimensional intermediate phenotypes in the relationship between environmental exposures and health outcomes. However, little work has been done on mediation analysis when the mediators are high-dimensional and the outcome is a survival endpoint, and none of it has provided a robust measure of total mediation effect. To this end, we propose an estimation procedure for Mediation Analysis of Survival outcome and High-dimensional omics mediators (MASH) based on sure independence screening for putative mediator variable selection and a second-moment-based measure of total mediation effect for survival data analogous to the

Indexed as

high-dimensional mediatorsmediation analysissurvival analysistotal mediation effectvariable selection

Identifiers

PMID39328363
PMCPMC11426188

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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.