Discussion of “Data-driven confounder selection via Markov and Bayesian networks” by Jenny Häggström

DOI10.1111/biom.12787zbMath1415.62109arXiv1710.11566OpenAlexW2963841634WikidataQ47663064 ScholiaQ47663064MaRDI QIDQ3119851

Sivaraman Balakrishnan, Edward H. Kennedy

Publication date: 13 March 2019

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1710.11566

zbMATH Keywords

sensitivity analysiscausal inferencepartial identificationunmeasured confoundingdoubly robust

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Nonparametric robustness (62G35) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Applications of graph theory (05C90)

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