Evidence map›Paper›PMID 40837827›Full record

ArticleJournal of the Royal Statistical Society. Series C, Applied statistics2025

Correcting for bias due to mismeasured exposure in mediation analysis with a survival outcome.

Chao Cheng, Donna Spiegelman, Fan Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the Royal Statistical Society. Series C, Applied statistics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Chao ChengDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, USA.ORCID https://orcid.org/0000-0003-3234-5874
Donna SpiegelmanDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, USA.ORCID https://orcid.org/0000-0003-4006-4650
Fan LiDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, USA.ORCID https://orcid.org/0000-0001-6183-1893

Funding

Comprehensive Translational Science Analytics Tools for the Global Health AgendaDP1ES025459 · NIEHS · YALE UNIVERSITY · PI SPIEGELMAN, DONNA L · 2014 to 2018
$4.1M
New Epidemiologic Methods for Reducing Measurement Error and Misclassification Bias in Cancer EpidemiologyR01CA279175 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI SPIEGELMAN, DONNA L, WANG, MOLIN · 2023 to 2025
$2.8M
NCI NIH HHS R01 CA279175NIEHS NIH HHS DP1 ES025459
6 · The paper itself

Abstract

We investigate the impact of exposure measurement error on assessing mediation with a survival outcome modelled by Cox regression. We first derive the bias formulas of natural indirect and direct effects with a rare outcome and no exposure-mediator interaction. We then develop several calibration approaches to correct for the measurement error-induced bias, and generalize our methods to accommodate a common outcome and an exposure-mediator interaction. We apply the proposed methods to analyse the Health Professionals Follow-up Study (1986-2016) and evaluate the extent to which reduced body mass index mediates the protective effect of physical activity on risk of cardiovascular diseases.

Indexed as

Bias analysismeasurement error correctionmediation proportionnatural indirect effectregression calibrationtime-to-event data

Identifiers

PMID40837827
PMCPMC12364547

What OpenQuestion holds

Textmetadata
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.