Effect Modification and Its Impact on Preventable and Attributable Fractions in the Potential Outcomes Framework

In sum, when effect modification is present, investigators should consider reporting these measures by the relevant population strata, and information that would allow quantification of their implicit weights in the total population estimate. Our study provides a formal justification for this approach.

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Publication Details

Journal
Journal of Epidemiology
Published
2025-01-01
DOI
https://doi.org/10.2188/jea.je20250409
Citations
1
Primary Topic
Advanced Causal Inference Techniques
Type
article
Field-Weighted Citation Impact
2.63

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article

Effect Modification and Its Impact on Preventable and Attributable Fractions in the Potential Outcomes Framework

Bronner P. Gonçalves, Etsuji Suzuki
1 citations
Journal of Epidemiology
Advanced Causal Inference Techniques
2.63
article

Effect Modification and Its Impact on Preventable and Attributable Fractions in the Potential Outcomes Framework

Bronner P. Gonçalves, Etsuji Suzuki
article en
1 citations

Abstract

In sum, when effect modification is present, investigators should consider reporting these measures by the relevant population strata, and information that would allow quantification of their implicit weights in the total population estimate. Our study provides a formal justification for this approach.

Journal of Epidemiology
Okayama University (JP), University of Surrey (GB)
Japan Society for the Promotion of Science
Openalex Percentile: Top 8%
Advanced Causal Inference Techniques
2.63
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