• Benjamin Y Andrew, Alan BrookhartMMDepartment of Population Health Sciences, Duke University, Durham, NC, USA., Rupert Pearse, Karthik Raghunathan, and Vijay Krishnamoorthy.
• Critical Care and Perioperative Population Health Research (CAPER) Unit, Department of Anesthesiology, Duke University School of Medicine, Durham, NC, USA. Electronic address: benjamin.andrew@duke.edu.
• Br J Anaesth. 2023 Nov 1; 131 (5): 805809805-809.

AbstractCausal inference in observational research requires a careful approach to adjustment for confounding. One such approach is the use of propensity score analyses. In this editorial, we focus on the role of propensity score-based methods in estimating causal effects from non-randomised observational data. We highlight the details, assumptions, and limitations of these methods and provide authors with guidelines for the conduct and reporting of propensity score analyses.Copyright © 2023 British Journal of Anaesthesia. All rights reserved.

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