Regression analysis of unmeasured confounding

DOI10.1515/EM-2019-0028zbMath1448.92008arXiv1908.08596OpenAlexW3029978867MaRDI QIDQ2197498

Brian Knaeble, Braxton Osting, Mark A. Abramson

Publication date: 31 August 2020

Published in: Epidemiologic Methods (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1908.08596

zbMATH Keywords

correlationoptimizationmodel uncertaintypropensity

Mathematics Subject Classification ID

Applications of statistics to actuarial sciences and financial mathematics (62P05) General biostatistics (92B15) General nonlinear regression (62J02)

Uses Software

• ElemStatLearn
• GitHub
• DOS

Cites Work

• Unnamed Item
• External validity: from do-calculus to transportability across populations
• Causal inference in statistics: an overview
• The sensitivity of linear regression coefficients' confidence limits to the omission of a confounder
• A New Criterion for Confounder Selection
• Generalized Cornfield conditions for the risk difference
• The central role of the propensity score in observational studies for causal effects
• Odds are the sign is right
• Reversals of Least-Square Estimates and Model-Invariant Estimation for Directions of Unique Effects
• Design of observational studies
• Observational studies.

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