Reversals of Least-Square Estimates and Model-Invariant Estimation for Directions of Unique Effects

DOI10.1080/00031305.2016.1226951OpenAlexW1559434237MaRDI QIDQ5885445

Seth Dutter, Brian Knaeble

Publication date: 3 April 2023

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00031305.2016.1226951

zbMATH Keywords

sensitivity analysisregressionconfounding

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (3)

Comment on Knaeble and Dutter (2017) ⋮ Does Home Health Care Increase the Probability of 30-Day Hospital Readmissions? Interpreting Coefficient Sign Reversals, or Their Absence, in Binary Logistic Regression Analysis ⋮ Regression analysis of unmeasured confounding

Cites Work

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• A result on the sign of restricted least-squares estimates
• On obtaining the right sign of a coefficient estimate by omitting a variable from the regression
• Bayesian model averaging: A tutorial. (with comments and a rejoinder).
• The central role of the propensity score in observational studies for causal effects
• Assessing the Sensitivity of Regression Results to Unmeasured Confounders in Observational Studies

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