ArticleEpidemiology (Cambridge, Mass.)2020
Using Transportability to Understand Differences in Mediation Mechanisms Across Trial Sites of a Housing Voucher Experiment.
Article in Epidemiology (Cambridge, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- "We adjusted for race": now what? A systematic review of utilization and reporting of race in American Journal of Epidemiology and Epidemiology, 2020-2021.Epidemiologic reviews · 2023Pooled it
- Using large biobanks for psychiatric genomic research: Consistency of clinical and genetic aspects of recorded depression across US states in the All of Us Research Program.Psychological medicine · 2026Article
- Mediation analysis investigating the mechanisms of two school-based smoking prevention interventions in adolescents from Northern Ireland and Bogotá.Frontiers in public health · 2026Article
- When, why and how are estimated effects transported between populations? A scoping review of studies applying transportability methods.European journal of epidemiology · 2025Article
- Gaps in the usage and reporting of multiple imputation for incomplete data: findings from a scoping review of observational studies addressing causal questions.BMC medical research methodology · 2024Article
- Efficiently transporting causal direct and indirect effects to new populations under intermediate confounding and with multiple mediators.Biostatistics (Oxford, England) · 2022Article
- Estimating preclinical amyloid positivity: A case study transporting ADNI to ARIC.Alzheimer's & dementia (New York, N. Y.)Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundRandomized trials may have different effects in different settings. Moving to Opportunity (MTO), a housing experiment, is one such example. Previously, we examined the extent to which MTO's overall effects on adolescent substance use and mental health outcomes were transportable across the sites to disentangle the contributions of differences in population composition versus differences in contextual factors to site differences. However, to further understand reasons for different site effects, it may be beneficial to examine mediation mechanisms and the degree to which they too are transportable across sites.
methodsWe used longitudinal data from MTO youth. We examined mediators summarizing aspects of the school environment over the 10-15 year follow-up. Outcomes of past-year substance use, mental health, and risk behavior were assessed at the final timepoint when participants were 10-20 years old. We used doubly robust and efficient substitution estimators to estimate (1) indirect effects by MTO site and (2) transported indirect effects from one site to another.
resultsDifferences in indirect effect estimates were most pronounced between Chicago and Los Angeles. Using transport estimators to account for differences in baseline covariates, likelihood of using the voucher to move, and mediator distributions partially to fully accounted for site differences in indirect effect estimates in 10 of the 12 pathways examined.
conclusionsUsing transport estimators can provide an evidence-based approach for understanding the extent to which differences in compositional factors contribute to differences in indirect effect estimates across sites, and ultimately, to understanding why interventions may have different effects when applied to new populations.
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