Propensity score methods in observational research: brief review and guide for authors.

Causal 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.

Duke Scholars

Author Vijay Krishnamoorthy Anesthesiology, Critical Care Medicine

Author Karthik Raghunathan Anesthesiology, VA Anesthesiology Service