Evidence map›Paper›PMID 32277465›Full record

ArticleBiometrics2021

Transporting stochastic direct and indirect effects to new populations.

Kara E Rudolph, Jonathan Levy, Mark J van der Laan

Abstract read
In one paragraph

Article in Biometrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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.

Kara E RudolphDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York.ORCID 0000-0002-9417-7960
Jonathan LevyDivision of Biostatistics, University of California, Berkeley, California.ORCID 0000-0001-8055-8888
Mark J van der LaanDivision of Biostatistics, University of California, Berkeley, California.

Funding

Mechanisms linking neighborhood poverty to problematic adolescent drug useR00DA042127 · NIDA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI RUDOLPH, KARA ELIZABETH · 2018 to 2021
$889k
NIDA NIH HHS R00 DA042127NIDA NIH HHS R00DA042127
6 · The paper itself

Abstract

Transported mediation effects may contribute to understanding how interventions work differently when applied to new populations. However, we are not aware of any estimators for such effects. Thus, we propose two doubly robust, efficient estimators of transported stochastic (also called randomized interventional) direct and indirect effects. We demonstrate their finite sample properties in a simulation study. We then apply the preferred substitution estimator to longitudinal data from the Moving to Opportunity Study, a large-scale housing voucher experiment, to transport stochastic indirect effect estimates of voucher receipt in childhood on subsequent risk of mental health or substance use disorder mediated through parental employment across sites, thereby gaining understanding of drivers of the site differences.

Indexed as

Substance-Related DisordersComputer SimulationHumansMental Healthexternal validitygeneralizabilityinstrumental variablesmediationrandomized interventional indirect effectsstochastic indirect effectstargeted maximum likelihood estimationtransportability

Identifiers

PMID32277465
PMCPMC7664994

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.