ArticleJournal of the American Statistical Association2008
Toward Causal Inference With Interference.
Article in Journal of the American Statistical Association, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 207 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
207 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Spillover effects on health outcomes in low- and middle-income countries: a systematic review.International journal of epidemiology · 2017Pooled it
- Maternal and child health intervention to promote behaviour change: a population-level cluster-randomised controlled trial in Honduras.BMJ open · 2024Trial
- Impact of family networks on uptake of health interventions: evidence from a community-randomized control trial aimed at increasing HIV testing in South Africa.Journal of the International AIDS Society · 2023Trial
- Spillover benefit of pre-exposure prophylaxis for HIV prevention: evaluating the importance of effect modification using an agent-based model.Epidemiology and infection · 2022Trial
- Disseminated Effects in Agent-Based Models: A Potential Outcomes Framework and Application to Inform Preexposure Prophylaxis Coverage Levels for HIV Prevention.American journal of epidemiology · 2021Trial
- Trial
- Article
- Negatives about positivity and consistency as conditions for causal inference.American journal of epidemiology · 2026Article
- Defining and Estimating Outcomes Directly Averted by a Vaccination Program when Rollout Occurs Over Time.Epidemiology (Cambridge, Mass.) · 2026Article
- Article
- Estimating the effect of hypothetical dietary protein interventions on changes in body composition of postmenopausal women over 3 years using data from the Women's Health Initiative (WHI) Study: an emulated target trial.International journal of obesity (2005) · 2026Article
- Extending the Use of Mendelian Randomisation With Non-Inherited Variants to Assess Socially Transmitted Parental Exposures Under Assortative Mating.Genetic epidemiology · 2026Article
- Inference About Separable Causal Effects With Longitudinal Bivariate Ordinal Responses With Missingness and Censoring.Statistics in medicine · 2026Article
- Joint mixed-effects models for causal inference in clustered network-based observational studies.Statistical methods in medical research · 2026Article
- Sensitivity analysis for contamination in egocentric-network randomized trials with interference.Biostatistics (Oxford, England) · 2026Article
- Discussion on 'Causal inference with misspecified network interference structure' by Bar Weinstein and Daniel Nevo.Biometrics · 2026Article
- Clustering and classification of soybean leaves based on angle features.Frontiers in plant science · 2026Article
- Estimating endogenous treatments effects under long-range dependency without untreated controls.PloS one · 2026Article
- Beyond "No Unmeasured Confounding": Challenges and Opportunities for Cornfield-Style Reasoning in Modern Causal Inference.Observational studies · 2026Article
- Estimation and inference for causal spillover effects in egocentric-network randomized trials in the presence of network membership misclassification.Biostatistics (Oxford, England) · 2025Article
147 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
A fundamental assumption usually made in causal inference is that of no interference between individuals (or units); that is, the potential outcomes of one individual are assumed to be unaffected by the treatment assignment of other individuals. However, in many settings, this assumption obviously does not hold. For example, in the dependent happenings of infectious diseases, whether one person becomes infected depends on who else in the population is vaccinated. In this article, we consider a population of groups of individuals where interference is possible between individuals within the same group. We propose estimands for direct, indirect, total, and overall causal effects of treatment strategies in this setting. Relations among the estimands are established; for example, the total causal effect is shown to equal the sum of direct and indirect causal effects. Using an experimental design with a two-stage randomization procedure (first at the group level, then at the individual level within groups), unbiased estimators of the proposed estimands are presented. Variances of the estimators are also developed. The methodology is illustrated in two different settings where interference is likely: assessing causal effects of housing vouchers and of vaccines.
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.