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 da...
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Published in | British journal of anaesthesia : BJA Vol. 131; no. 5; pp. 805 - 809 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
England
Elsevier Ltd
01.11.2023
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Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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Bibliography: | SourceType-Other Sources-1 content type line 63 ObjectType-Editorial-2 ObjectType-Commentary-1 |
ISSN: | 0007-0912 1471-6771 |
DOI: | 10.1016/j.bja.2023.06.054 |