Comparing Propensity Score Methods Versus Traditional Regression Analysis for the Evaluation of Observational Data: A Case Study Evaluating the Treatment of Gram-Negative Bloodstream Infections

• Published in: Clinical infectious diseases Vol. 71; no. 9; pp. e497 - e505
• Main Authors: Amoah, Joe, Stuart, Elizabeth A, Cosgrove, Sara E, Harris, Anthony D, Han, Jennifer H, Lautenbach, Ebbing, Tamma, Pranita D
• Format: Journal Article
• Language: English
• Published: US Oxford University Press 03.12.2020
• Subjects: Cohort Studies; Humans; Logistic Models; Online Only; Propensity Score; Regression Analysis; Sepsis; propensity score matching; propensity score weighting; causal inference; observational data; logistic regression

Abstract Background Propensity score methods are increasingly being used in the infectious diseases literature to estimate causal effects from observational data. However, there remains a general gap in understanding among clinicians on how to critically review observational studies that have incorp...