ArticleAnnals of statistics2012
GENERAL THEORY FOR INTERACTIONS IN SUFFICIENT CAUSE MODELS WITH DICHOTOMOUS EXPOSURES.
Article in Annals of statistics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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
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Who cites it
15 citing papers in PubMed.
- Causal diagrams integrating counterfactuals and sufficient causes.American journal of epidemiology · 2026Article
- Semiparametric discovery and estimation of interaction in mixed exposures using stochastic interventions.Journal of causal inference · 2026Article
- Unraveling Causality: Innovations in Epidemiologic Methods.JMA journal · 2025Article
- The interventionist approach can address questions related to causes of effects if causes are considered as states instead of interventions.Observational studies · 2025Article
- Annual Research Review: Sex, gender, and internalizing conditions among adolescents in the 21st century - trends, causes, consequences.Journal of child psychology and psychiatry, and allied disciplines · 2024Review
- SUFFICIENT CAUSE INTERACTIONS FOR CATEGORICAL AND ORDINAL OUTCOMES.Statistica Sinica · 2021Article
- Strength in causality: discerning causal mechanisms in the sufficient cause model.European journal of epidemiology · 2021Article
- On the identification of individual level pleiotropic, pure direct, and principal stratum direct effects without cross world assumptions.Scandinavian journal of statistics, theory and applications · 2021Article
- Moving from two- to multi-way interactions among binary risk factors on the additive scale.Biostatistics & epidemiology · 2020Article
- Invited Commentary: The Continuing Need for the Sufficient Cause Model Today.American journal of epidemiology · 2017Article
- Additive interaction in the presence of a mismeasured outcome.American journal of epidemiology · 2015Article
- A mapping between interactions and interference: implications for vaccine trials.Epidemiology (Cambridge, Mass.) · 2012Article
- Semiparametric tests for sufficient cause interaction.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2012Article
- Stochastic counterfactuals and stochastic sufficient causes.Statistica Sinica · 2012Article
- Attributable fractions for sufficient cause interactions.The international journal of biostatistics · 2010Article
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
The sufficient-component cause framework assumes the existence of sets of sufficient causes that bring about an event. For a binary outcome and an arbitrary number of binary causes any set of potential outcomes can be replicated by positing a set of sufficient causes; typically this representation is not unique. A sufficient cause interaction is said to be present if within all representations there exists a sufficient cause in which two or more particular causes are all present. A singular interaction is said to be present if for some subset of individuals there is a unique minimal sufficient cause. Empirical and counterfactual conditions are given for sufficient cause interactions and singular interactions between an arbitrary number of causes. Conditions are given for cases in which none, some or all of a given set of causes affect the outcome monotonically. The relations between these results, interactions in linear statistical models and Pearl's probability of causation are discussed.
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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.