Evidence map›Paper›PMID 28824285›Full record

ArticleJournal of the Royal Statistical Society. Series B, Statistical methodology2017

Mediation analysis with time varying exposures and mediators.

Tyler J VanderWeele, Eric J Tchetgen Tchetgen

Registry-linked trialAbstract read
In one paragraph

Article in Journal of the Royal Statistical Society. Series B, Statistical methodology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05723653 (Harnessing Social Network Support to Improve Retention in Care and Viral Suppression Among People Living With HIV in Chicago and Alabama), which is not on this map. Cited by 123 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed, 3 pooled it
–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.

NCT05723653 narecruitingnot on this mapstarted 2023, after this paper: background citation

Harnessing Social Network Support to Improve Retention in Care and Viral Suppression Among People Living With HIV in Chicago and Alabama: A Hybrid Type I Effectiveness-implementation Trial

TypeinterventionalSponsorUniversity of ChicagoRan2023 to 2027Enrolled900ConditionsHIV SeropositivityArmsSocial Network Support Intervention
3 · Its place in the literature

Who cites it

123 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  5. The renoprotective effect of esaxerenone independent of blood pressure lowering: a post hoc mediation analysis of the ESAX-DN trial.Hypertension research : official journal of the Japanese Society of Hypertension · 2023
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63 more citing papers are in PubMed but not listed here.

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.

Tyler J VanderWeeleHarvard T.H. Chan School of Public Health, Departments of Biostatistics and Epidemiology, 677 Huntington Avenue, Boston MA 02115, USA.
Eric J Tchetgen TchetgenHarvard T.H. Chan School of Public Health, Departments of Biostatistics and Epidemiology, 677 Huntington Avenue, Boston MA 02115, USA.

Funding

Identification and Inference for Longitudinal Causal Mediation Analysis in HIVR01AI104459 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI SHPITSER, ILYA, VANDERWEELE, TYLER · 2013 to 2017
$2.0M
Theory and methods for sufficient cause interactionsR01ES017876 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI VANDERWEELE, TYLER · 2010 to 2014
$1.2M
Theory and methods for interactionR56ES017876 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI TCHETGEN TCHETGEN, ERIC JOEL, VANDERWEELE, TYLER · 2016 to 2016
$150k
NIAID NIH HHS R01 AI104459NIEHS NIH HHS R01 ES017876NIEHS NIH HHS R56 ES017876
6 · The paper itself

Abstract

In this paper we consider causal mediation analysis when exposures and mediators vary over time. We give non-parametric identification results, discuss parametric implementation, and also provide a weighting approach to direct and indirect effects based on combining the results of two marginal structural models. We also discuss how our results give rise to a causal interpretation of the effect estimates produced from longitudinal structural equation models. When there are time-varying confounders affected by prior exposure and mediator, natural direct and indirect effects are not identified. However, we define a randomized interventional analogue of natural direct and indirect effects that are identified in this setting. The formula that identifies these effects we refer to as the "mediational g-formula." When there is no mediation, the mediational g-formula reduces to Robins' regular g-formula for longitudinal data. When there are no time-varying confounders affected by prior exposure and mediator values, then the mediational g-formula reduces to a longitudinal version of Pearl's mediation formula. However, the mediational g-formula itself can accommodate both mediation and time-varying confounders and constitutes a general approach to mediation analysis with time-varying exposures and mediators.

Indexed as

counterfactualdirect and indirect effectlongitudinal datamediationpathway analysistime-varying confounding

Identifiers

PMID28824285
PMCPMC5560424

What OpenQuestion holds

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Registered trials

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.