To the top

Page Manager: Webmaster
Last update: 9/11/2012 3:13 PM

Tell a friend about this page
Print version

Propensity weighting: how… - University of Gothenburg, Sweden Till startsida
Sitemap
To content Read more about how we use cookies on gu.se

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
Links dx.doi.org/10.1177/1474515119888972
www.ncbi.nlm.nih.gov/entrez/query.f...
Subject categories Health Sciences

Abstract

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
Share:

The University of Gothenburg uses cookies to provide you with the best possible user experience. By continuing on this website, you approve of our use of cookies.  What are cookies?