ArticleAmerican journal of epidemiology2020
Win-Win: Reconciling Social Epidemiology and Causal Inference.
Article in American journal of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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
33 citing papers in PubMed, 60 citations in OpenAlex.
- Mediation effects that emulate a target randomised trial: Simulation-based evaluation of ill-defined interventions on multiple mediators.Statistical methods in medical research · 2021Trial
- Long-term Cardiovascular Outcomes Following Bariatric Surgery: Reconciling Seemingly Conflicting Evidence.Epidemiology (Cambridge, Mass.) · 2026Article
- Sex and gender effects on incidence of migraine and stroke: a longitudinal observational study based on the german socio-economic panel.Biology of sex differences · 2026Observational
- Covariate adjustment in LGBTQ+ health disparities research: aligning methods with assumptions.American journal of epidemiology · 2026Article
- Challenges in estimating effects of hypothetical interventions on resources patterned by structural racism: an example in a rural North Carolina Medicaid population.American journal of epidemiology · 2026Article
- Cultural Engagement Is Related to Decelerated Physiological Age: Doubly Robust Estimations in a National Cohort Study.Annals of the New York Academy of Sciences · 2026Article
- Whose Knowledge Counts? Considering Gender, Sexuality, and Race in Description, Prediction, and Causal Inference in Oral Epidemiology.Advances in dental research · 2026Article
- Advancing equitable and sustainable urban health.Nature medicine · 2025Review
- On the Uses and Abuses of Regression Models: A Call for Reform of Statistical Practice and Teaching.Statistics in medicine · 2025Article
- Methodological approaches to structural change: epidemiology and the case for reparations.American journal of epidemiology · 2025Article
- Poverty and Childhood Obesity: Current Evidence and Methodologies for Future Research.Current obesity reports · 2025Review
- Inconsistent consistency: evaluating the well-defined intervention assumption in applied epidemiological research.International journal of epidemiology · 2025Review
- Theorizing epidemiology, the stories bodies tell, and embodied truths: a status update on contending 21International journal of social determinants of health and health services · 2024Review
- Single World Intervention Graphs (SWIGs): A Practical Guide.American journal of epidemiology · 2024Article
- Socioeconomic inequalities in cardiovascular disease: a causal perspective.Nature reviews. Cardiology · 2024Review
- Review
- Co-occurring psychiatric disorders and disparities in buprenorphine utilization in opioid use disorder: An analysis of insurance claims.Drug and alcohol dependence reports · 2023Article
- Childhood socioeconomic position and cardiometabolic risk in young adulthood- the impact of mental health.BMC public health · 2023Article
- Racial and Ethnic Disparities in the Incidence of High-Impact Chronic Pain Among Primary Care Patients with Acute Low Back Pain: A Cohort Study.Pain medicine (Malden, Mass.) · 2023Article
- Structural racism theory, measurement, and methods: A scoping review.Frontiers in public health · 2023Article
Corrections and comments
- Commented on by
- Commented on by
- Commented on by
Authors and funding
2 authors.
Funding
Abstract
Social epidemiology is concerned with the health effects of forces that are "above the skin." Although causal inference should be a key goal for social epidemiology, social epidemiology and quantitative causal inference have been seemingly at odds over the years. This does not have to be the case and, in fact, both fields stand to gain through a closer engagement of social epidemiology with formal causal inference approaches. We discuss the misconceptions that have led to an uneasy relationship between these 2 fields, propose a way forward that illustrates how the 2 areas can come together to inform causal questions, and discuss the implications of this approach. We argue that quantitative causal inference in social epidemiology is an opportunity to do better science that matters, a win-win for both fields.
Indexed as
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.