Causal Inference from Observational Studies with Clustered Interference

DOI10.48550/arXiv.1711.04834zbMath1470.62152arXiv1711.04834MaRDI QIDQ146289

Mohammad Ali, Michael G. Hudgens, John D. Clemens, Michael E. Emch, Brian G. Barkley, Yanyan Li

Publication date: 13 November 2017

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1711.04834

zbMATH Keywords

interferencecausal inferencespillover effectspropensity scoreobservational studyinverse probability weight

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Causal inference from observational studies (62D20)

Related Items

Evaluation of the health impacts of the 1990 Clean Air Act Amendments using causal inference and machine learning ⋮ Inverse probability weighted estimators of vaccine effects accommodating partial interference and censoring ⋮ clusteredinterference ⋮ Analysing the causal effect of London cycle superhighways on traffic congestion

Uses Software

• lme4
• clusteredinterference

Cites Work

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