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Propensity weighting: how to minimise comparative bias in non-randomised studies?

Journal article
Authors Philip Moons
Published in European journal of cardiovascular nursing : journal of the Working Group on Cardiovascular Nursing of the European Society of Cardiology
Volume 19
Issue 1
Pages 83-88
ISSN 1873-1953
Publication year 2020
Published at Institute of Health and Care Sciences
Pages 83-88
Language en
Subject categories Health Sciences


Non-randomised study designs are frequently used by researchers in cardiovascular nursing and allied professions. Baseline differences between the groups to be compared may introduce bias in the results. Methods for causal inference address this issue. One such method is propensity weighting, in which two or more treatments/exposure groups are weighted to make the groups as comparable as possible. As such, it mimics a randomised controlled trial design. In this article, the Twang package is presented for propensity weighting, and its use is exemplified in a study on smoking and cannabis consumption in adults with congenital heart disease.

Page Manager: Webmaster|Last update: 9/11/2012

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