Causal inference accounting for unobserved confounding after outcome regression and doubly robust estimation

DOI10.1111/biom.13001zbMath1436.62555arXiv1712.00292OpenAlexW3098398999WikidataQ93086756 ScholiaQ93086756MaRDI QIDQ5214509

Xavier de Luna, Minna Genbäck

Publication date: 7 February 2020

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1712.00292

zbMATH Keywords

sensitivity analysisdouble robustregression estimatorsuncertainty intervalsignorability assumptionaverage causal effectsregular food intake

Mathematics Subject Classification ID

Nonparametric robustness (62G35) Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (3)

The costs and benefits of uniformly valid causal inference with high-dimensional nuisance parameters ⋮ Estimating treatment effects in the presence of unobserved confounders ⋮ ui

Uses Software

• R

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