Flexible Sensitivity Analysis for Observational Studies Without Observable Implications

DOI10.1080/01621459.2019.1604369zbMath1452.62177arXiv1809.00399OpenAlexW2890946734WikidataQ127979080 ScholiaQ127979080MaRDI QIDQ5146026

Alexanderm. Franks, Avi Feller, Alexander D'Amour

Publication date: 22 January 2021

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1809.00399

zbMATH Keywords

sensitivity analysisobservational studiesBayesian inferencelatent confounderTukey's factorization

Mathematics Subject Classification ID

Bayesian inference (62F15) Missing data (62D10) Causal inference from observational studies (62D20)

Related Items (10)

Testing Weak Nulls in Matched Observational Studies ⋮ Estimating the effects of a California gun control program with multitask Gaussian processes ⋮ Conformal Sensitivity Analysis for Individual Treatment Effects ⋮ Parameter restrictions for the sake of identification: is there utility in asserting that perhaps a restriction holds? ⋮ Sharp Sensitivity Analysis for Inverse Propensity Weighting via Quantile Balancing ⋮ Sensitivity analysis for observational studies with recurrent events ⋮ The Blessings of Multiple Causes ⋮ Comment: Reflections on the Deconfounder ⋮ Beyond the mean: a flexible framework for studying causal effects using linear models ⋮ Bounds on the conditional and average treatment effect with unobserved confounding factors

Uses Software

• BayesDA
• dirichletprocess
• BartPy

Cites Work

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