ArticleEpidemiologic perspectives & innovations : EP+I2012
Extending the sufficient component cause model to describe the Stable Unit Treatment Value Assumption (SUTVA).
Article in Epidemiologic perspectives & innovations : EP+I, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled 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.
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
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Medical marijuana laws and adolescent marijuana use in the United States: a systematic review and meta-analysis.Addiction (Abingdon, England) · 2018Pooled it
- Trial
- Are arms-based methods required to test the stable unit treatment value assumption (SUTVA) among Cochrane reviews of contagious infection prevention interventions?Global epidemiology · 2026Article
- Are ethnic inequalities in COVID-19 outcomes mediated by occupation risk? Analyses of a 2-year record linked national cohort study in Scotland.European journal of public health · 2025Article
- Rollout trial designs in implementation research are often necessary and sometimes preferred.Implementation science : IS · 2025Article
- Inconsistent consistency: evaluating the well-defined intervention assumption in applied epidemiological research.International journal of epidemiology · 2025Review
- Eviction as a community health exposure.Social science & medicine (1982) · 2024Review
- Identifying culture as cause: Challenges and opportunities.Evolutionary human sciences · 2024Article
- A tutorial on a marginal structural modeling approach to mediation analysis in occupational health research: Investigating education, employment quality, and mortality.American journal of industrial medicine · 2023Article
- The effect of state Earned Income Tax Credit (EITC) eligibility on food insufficiency during the COVID-19 pandemic.Review of economics of the household · 2023Article
- Evolving Primary Care Utilization of Transgender and Gender-Nonconforming People at a Community Sexual Health Clinic.Transgender health · 2022Article
- Union Burying Ground: Mortality, Mortality Inequities, and Sinking Labor Union Membership in the United States.Epidemiology (Cambridge, Mass.) · 2021Article
- Population Health Science: Fulfilling the Mission of Public Health.The Milbank quarterly · 2021Article
- Conceptualising natural and quasi experiments in public health.BMC medical research methodology · 2021Review
- Solidarity and disparity: Declining labor union density and changing racial and educational mortality inequities in the United States.American journal of industrial medicine · 2020Article
- Public health application of predictive modeling: an example from farm vehicle crashes.Injury epidemiology · 2019Article
- From Philosophy to Practice: Designing a Multi-Method, Multi-Stage Program Evaluation of the Wisconsin Domestic Violence Housing First Pilot Program.Inquiry : a journal of medical care organization, provision and financingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Causal inference requires an understanding of the conditions under which association equals causation. The exchangeability or no confounding assumption is well known and well understood as central to this task. More recently the epidemiologic literature has described additional assumptions related to the stability of causal effects. In this paper we extend the Sufficient Component Cause Model to represent one expression of this stability assumption--the Stable Unit Treatment Value Assumption. Approaching SUTVA from an SCC model helps clarify what SUTVA is and reinforces the connections between interaction and SUTVA.
Identifiers
What OpenQuestion holds
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.