Reconsidering the denominator of the attributable proportion for interaction
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Modified AP is independent of covariate adjustment.
“It is independent of covariate adjustment.29”
From Understanding of interaction (subgroup) analysis in clinical trials (2019) · cites this paper as [29]
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Cites
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Confidence interval estimation of interaction
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Estimating measures of interaction on an additive scale for preventive exposures
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“[11] suggested that the interpretation of measures like RERI were clearest when the effects of the each of the exposures in the absence of the other were positive and proposed a recoding strategy of exposures to ensure that that was so.”
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“would still obtain the same attributable proportion measure of AP 1⁄4 33:3 %: Third, Skrondal [12] criticized Rothman’s original attributable proportion measure (and also RERI) because, in the presence of covariates, if the risks follow a linear risk model that is additive in the covariates, P(D = 1|X1 = x1, X2 = x2,…”
Sufficient cause interactions and statistical interactions
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“Alternatively, we might consider the proportion of the joint effects of both exposures together that is due to interaction (Rothman, 1986; VanderWeele, 2013).”
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Attributing Effects to Interactions
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Self-citationInteraction between passive smoking and two HLA genes with regard to multiple sclerosis risk
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“AP as defined by Rothman,(11) as defined by WanderWeele.(12) Adjusted for age, gender, ancestry, HLA-A*02 status and study.”
MethodInfluentialWhat matters most: quantifying an epidemiology of consequence
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“A more rigorous focus on the absolute change in population health associated with exposures of interest has captured the attention of the methodologic literature [42,43], and several measures and indices with which to build from the solid risk factor work produced by the field in the last several decades have been dev…”
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“…of high genetic risk and unfavourable lifestyle into three components—the proportions attributable to high genetic risk alone, unfavourable lifestyle alone and their interaction—and calculated the alternative attributable proportion (AP * ) for each component 44,45 (detailed in Supplementary Note).”
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“Supposing that there is no interaction, RERI and API are equal to 0 (Andersson et al. 2005; VanderWeele 2013).”
Muga, M. A., Owili, P. O., Hsu, C., & Chao, J. C.-J. (2019) · BMC Public Health · doi:10.1186/s12889-019-7686-0 · Cited by 28 · see citing works
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“in the doubly exposed group that is due to the interaction [63] and the relative excess risk due to interaction (RERI), a measure of interaction on the additive scale for risk ratios [64].”
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“This measure was used to capture the proportion of the disease in the doubly exposed group that is due to the interaction between the two exposures [36].”
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“AP was intended to capture the proportion of the disease in the doubly exposed group that is due to the interaction between the two exposures (17).”
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A General Framework for and New Normalization of Attributable Proportion
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“(12) to RRð1, 1Þ− 1, see Rothman (2012) and VanderWeele (2013).”
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MethodA Unification of Mediation and Interaction
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“Traditional definitions of attributable proportion have an unbounded negative range [18, 29, 19].”
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- Authors
- VanderWeele, T. J.
- Affiliations
- Harvard University (US)
- Corresponding author
- VanderWeele, Tyler J.
- Venue
- European Journal of Epidemiology
- Published
- 2013-09-14
- Volume
- 28
- Issue
- 10
- Pages
- 779-784
- ISSN
- 0393-2990 (ISSN-L)
- 1573-7284
- PMC
- PMC3882023
- OpenAlex
- W2049708264
- Cited by
- 36
- References
- 12
- Citations by year
- 2026: 5 · 2025: 2 · 2024: 5 · 2023: 1 · 2022: 5 · 2021: 1 · 2020: 1 · 2019: 3 · 2018: 1 · 2017: 1 · 2016: 2 · 2015: 3 · 2014: 6
- FWCI
- 3.24
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- European Journal of Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Environmental Health Sciences (R01ES017876)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Keywords
- additive interaction, attributable proportion, risk difference, potential outcomes framework, intervention targeting
- MeSH terms
- Data Interpretation, Statistical, Humans, Models, Statistical, Epidemiologic Research Design, Causality, Epidemiologic Studies
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