Evidence map›Paper›PMID 39172429›Full record

ArticleDevelopmental psychology2025

An introduction to inverse probability weighting and marginal structural models: The case of environmental tobacco exposure and attention deficit/hyperactivity disorder behaviors.

Michael T Willoughby, Siri Warkentien, Erica N Browne, Lisa Gatzke-Kopp, Daniel Berry

Abstract read
In one paragraph

Article in Developmental psychology, 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

5 authors.

Michael T WilloughbyRTI International.ORCID 0000-0002-8470-3533
Siri WarkentienRTI International.
Erica N BrowneRTI International.ORCID 0000-0003-2069-6589
Lisa Gatzke-KoppDepartment of Human Development and Family Studies, Pennsylvania State University.
Daniel BerryInstitute of Child Development, University of Minnesota.

Funding

Temperment, Psychobiological, and Cognitive PredictorsP01HD039667 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BLAIR, CLANCY B · 2002 to 2011
$29.1M
Early Life Stress and the Environmental Origins of Disease: a Population-based Prospective Longitudinal Study of Children in Rural Poverty (ECHO)UH3OD023332 · OD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KOPP, LISA MICHELLE, SWINGLER, MARGARET M. · 2018 to 2022
$22.7M
Early Life Stress and the Environmental Origins of Disease: a Population-based Prospective Longitudinal Study of Children in Rural PovertyUG3OD023332 · OD · NEW YORK UNIVERSITY · PI BLAIR, CLANCY B · 2016 to 2017
$6.5M
National Institutes of Health; Office of the DirectorNICHD NIH HHS P01 HD039667NIH HHS UG3 OD023332NIH HHS UH3 OD023332
6 · The paper itself

Abstract

Developmental scientists routinely examine how a focal predictor relates to some aspect of children's development. Although covariate adjustment is typically used to test hypotheses, propensity score-based methods, including inverse probability of treatment weighting (IPTW) and marginal structural models (MSM), can strengthen inference and answer more nuanced, developmentally relevant questions. This article provides a didactic introduction to IPTW and MSM methods and demonstrates their use for testing the impact of environmental smoke exposure (continuous treatment) from 6 to 90 months on parent-reported attention deficit hyperactivity disorder behaviors in first grade for 1,053 children (51% male, 44% Black) in the Family Life Project. We highlight differences that result both in conclusions and in the evaluation of assumptions for IPTW and MSM relative to more traditional covariate adjustment methods. Sample Stata syntax is provided. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

Indexed as

Attention Deficit Disorder with HyperactivityModels, StatisticalTobacco Smoke PollutionChildChild, PreschoolFemaleHumansMaleProbabilityTobacco Smoke Pollution

Identifiers

PMID39172429
PMCPMC11894555

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Registered trials

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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.