ArticleThe international journal of biostatistics2010
Attributable fractions for sufficient cause interactions.
Article in The international journal of biostatistics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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.
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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.
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Who cites it
9 citing papers in PubMed, 20 citations in OpenAlex.
- Effect Modification and Its Impact on Preventable and Attributable Fractions in the Potential Outcomes Framework.Journal of epidemiology · 2026Article
- Unraveling Causality: Innovations in Epidemiologic Methods.JMA journal · 2025Article
- Sufficient component cause simulations: an underutilized epidemiologic teaching tool.Frontiers in epidemiology · 2023Article
- Estimation and inference for the population attributable risk in the presence of misclassification.Biostatistics (Oxford, England) · 2021Article
- Strength in causality: discerning causal mechanisms in the sufficient cause model.European journal of epidemiology · 2021Article
- Invited Commentary: The Continuing Need for the Sufficient Cause Model Today.American journal of epidemiology · 2017Article
- Identification of operating mediation and mechanism in the sufficient-component cause framework.European journal of epidemiology · 2011Review
- Author's response to Poole, C. Commentary: How Many Are Affected? A Real Limit of Epidemiology.Epidemiologic perspectives & innovations : EP+I · 2010Article
- Marginal structural models for sufficient cause interactions.American journal of epidemiology · 2010Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
A number of results concerning attributable fractions for sufficient cause interactions are given. Results are given both for etiologic fractions (i.e. the proportion of the disease due to a particular sufficient cause) and for excess fractions (i.e. the proportion of disease that could be eliminated by removing a particular sufficient cause). Results are given both with and without assumptions of monotonicity. Under monotonicity assumptions, exact formulas can be given for the excess fraction. When etiologic fractions are of interest or when monotonicity assumptions do not hold for excess fractions then only lower bounds can be given. The interpretation of the results in this paper and in a proposal by Hoffmann et al. (2006) are discussed and compared. A method is described to estimate the lower bounds on attributable fractions using marginal structural models. Identification is discussed in settings in which time-dependent confounding may be present.
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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.