Evidence map›Paper›PMID 35400115›Full record

ArticleJournal of the American Statistical Association2022

A multiple-testing procedure for high-dimensional mediation hypotheses.

James Y Dai, Janet L Stanford, Michael LeBlanc

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Statistical Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
8.6field-weighted citation impact, top 2% of its field
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

52 citing papers in PubMed, 88 citations in OpenAlex.

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  18. Causal Mediation Analysis for Integrating Exposure, Genomic, and Phenotype Data.Annual review of statistics and its application · 2025
    Article
  19. Hypothesis Tests of Indirect Effects for Multiple Mediators.Statistical methods & applications · 2025
    Article
  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

3 authors at 2 institutions in 1 country.

James Y DaiPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109.
Janet L StanfordPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109.
Michael LeBlancPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109.
Fred Hutch Cancer Center · USUniversity of Washington · US

Funding

SWOG Statistics & Data Management Center complex - extension supplement for GY06U10CA180819 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Catherine M. Tangen · 2014 to 2026
$115.2M
TRANSCRIPTOME AND PROTEOME STRATIFICATION OF PROSTATE ADENOCARCINOMA PHENOTYPESP50CA097186 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI John Kyung Lee · 2002 to 2026
$58.1M
PCPT and SELECT Cohorts: Core Infrastructure Support for Cancer ResearchU01CA182883 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI TANGEN, CATHERINE M., THOMPSON, IAN M. · 2019 to 2023
$5.4M
Statistical Genetics and Genomics for Epidemiologic ResearchR01CA222833 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI SUN, WEI · 2018 to 2022
$2.2M
NCI NIH HHS P50 CA097186NCI NIH HHS R01 CA222833NCI NIH HHS U01 CA182883NCI NIH HHS U10 CA180819
6 · The paper itself

Abstract

Mediation analysis is of rising interest in epidemiology and clinical trials. Among existing methods, the joint significance (JS) test yields an overly conservative type I error rate and low power, particularly for high-dimensional mediation hypotheses. In this article we develop a multiple-testing procedure that accurately controls the family-wise error rate (FWER) and the false discovery rate (FDR) when testing high-dimensional mediation hypotheses. The core of our procedure is based on estimating the proportions of component null hypotheses and the underlying mixture null distribution of p-values. Theoretical developments and simulation experiments prove that the proposed procedure effectively controls FWER and FDR. Two mediation analyses on DNA methylation and cancer research are presented: assessing the mediation role of DNA methylation in genLetic regulation of gene expression in primary prostate cancer samples; exploring the possibility of DNA methylation mediating the effect of exercise on prostate cancer progression. Results of data examples include wellL-behaved quantile-quantile plots and improved power to detect novel mediation relationships. An R package HDMT implementing the proposed procedure is freely accessible in CRAN.

Indexed as

composite null hypothesisintersection-union testjoint significancemediation analysis

Identifiers

PMID35400115
PMCPMC8991388
OpenAlexW3024032044

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.