Prevalence and Effects of Cigarette Smoking, Cannabis Consumption, and Co-use in Adults From 15 Countries With Congenital Heart Disease

2019 ◽  
Vol 35 (12) ◽  
pp. 1842-1850 ◽  
Author(s):  
Philip Moons ◽  
Koen Luyckx ◽  
Adrienne H. Kovacs ◽  
Christina E. Holbein ◽  
Corina Thomet ◽  
...  
Keyword(s):  
Congenital Heart Disease ◽  
Heart Disease ◽  
Cigarette Smoking ◽  
Congenital Heart ◽  
Cannabis Consumption

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

2019 ◽  
Vol 19 (1) ◽  
pp. 83-88 ◽  
Author(s):  
Philip Moons
Keyword(s):  
Congenital Heart Disease ◽  
Heart Disease ◽  
Trial Design ◽  
Congenital Heart ◽  
Controlled Trial ◽  
Randomised Study ◽  
Cannabis Consumption ◽  
Randomised Controlled ◽  
Study Designs ◽  
Cardiovascular Nursing

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.

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