Evidence map›Paper›PMID 23005030›Full record

Trial reportBiometrics2012

Bayesian inference for the causal effect of mediation.

Michael J Daniels, Jason A Roy, Chanmin Kim, Joseph W Hogan, Michael G Perri

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Biometrics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

28 citing papers in PubMed, 51 citations in OpenAlex.

  1. Trial
  2. Behavioral mediators of treatment effects in the weight loss maintenance trial.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2013
    Trial
  3. Bayesian Image Mediation Analysis.Journal of the American Statistical Association · 2026
    Article
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  15. Bayesian Causality.The American statistician · 2020
    Article
  16. Article
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  19. Article
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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

5 authors at 4 institutions in 1 country.

Michael J DanielsDepartment of Statistics, University of Florida, Gainesville, FL 32611, USA. mdaniels@stat.ufl.edu
Jason A Roy
Chanmin Kim
Joseph W Hogan
Michael G Perri
University of Florida · USBrown University · USUniversity of Florida Health · USUniversity of Pennsylvania · US

Funding

University of Florida Older Americans Independence Center (OAIC)P30AG028740 · NIA · UNIVERSITY OF FLORIDA · PI CHRISTIAAN LEEUWENBURGH · 2007 to 2026
$22.8M
Virology CoreP01AA019072 · NIAAA · BROWN UNIVERSITY · PI BECKER, SARA · 2010 to 2024
$19.7M
TREATMENT OF OBESITY IN UNDERSERVED RURAL SETTINGS-TOURSR01HL073326 · NHLBI · UNIVERSITY OF FLORIDA · PI PERRI, MICHAEL G · 2004 to 2006
$2.0M
COVARIANCE ESTIMATION FOR LONGITUDINAL CANCER DATAR01CA085295 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI DANIELS, MICHAEL J · 2001 to 2012
$1.1M
New Approaches to Mediation Analysis using Causal Inference MethodsRC1AA019186 · NIAAA · BROWN UNIVERSITY · PI HOGAN, JOSEPH W · 2009 to 2010
$940k
NCI NIH HHS R01 CA085295NCI NIH HHS R01-CA85295NHLBI NIH HHS R01 HL073326NHLBI NIH HHS R01-HL073326NIAAA NIH HHS P01 AA019072NIAAA NIH HHS RC1-AA01918186NIAAA NIH HHS RC1 AA019186NIA NIH HHS P30 AG028740NIA NIH HHS P30-AG028740
6 · The paper itself

Abstract

We propose a nonparametric Bayesian approach to estimate the natural direct and indirect effects through a mediator in the setting of a continuous mediator and a binary response. Several conditional independence assumptions are introduced (with corresponding sensitivity parameters) to make these effects identifiable from the observed data. We suggest strategies for eliciting sensitivity parameters and conduct simulations to assess violations to the assumptions. This approach is used to assess mediation in a recent weight management clinical trial.

Indexed as

Bayes TheoremCausalityData Interpretation, StatisticalEpidemiologic MethodsDirective CounselingHumansObesityPrevalenceTreatment Outcome

Identifiers

PMID23005030
PMCPMC3927554
OpenAlexW2165957911

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.