Inference for Causal Interactions for Continuous Exposures under Dichotomization

DOI10.1111/j.1541-0420.2011.01629.xzbMath1274.62889OpenAlexW2100111312WikidataQ35228061 ScholiaQ35228061MaRDI QIDQ2893401

Yu Chen, Tyler J. Vanderweele, Habibul Ahsan

Publication date: 20 June 2012

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3178663

zbMATH Keywords

counterfactualsinteractioncausal inferencesynergismdichotomization

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)

Cites Work

• Comparing the Effects of Continuous and Discrete Covariate Mismeasurement, with Emphasis on the Dichotomization of Mismeasured Predictors
• Note on Grouping
• Testing in Semiparametric Models with Interaction, with Applications to Gene–Environment Interactions
• Empirical and counterfactual conditions for sufficient cause interactions
• A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
• Multiply Robust Inference for Statistical Interactions

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