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Causal inference when counterfactuals depend on the proportion of all subjects exposed

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Publication:5214545
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DOI10.1111/BIOM.13034zbMath1436.62607arXiv1710.09588OpenAlexW2901796322WikidataQ91325151 ScholiaQ91325151MaRDI QIDQ5214545

Maya Petersen, Caleb H. Miles

Publication date: 7 February 2020

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1710.09588


zbMATH Keywords

semiparametric estimationinterferencedependent datacausal inferenceHIV/AIDSSUTVA


Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)


Related Items (1)

Statistical Inference and Power Analysis for Direct and Spillover Effects in Two-Stage Randomized Experiments







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