Implementation of G-computation on a simulated data set: demonstration of a causal inference technique.
Am J Epidemiol. 2011 Apr 1; 173(7):731-8
G-computation is a useful, if underutilized, statistical tool for estimating causal effects of complex treatments. This paper provides a good starting-point tutorial for practitioners who wish to use the method.
This paper provides a tutorial on G-computation that is very clearly written and didactic. The authors first simulated...
Get instant access to Article Recommendations from more than 5,000 expert scientists and clinical researchers, assisted by 5,000 associates, by taking out a monthly subscription. The first month of your subscription will be free of charge.
Start your personal subscription today.Subscribe for $9.95/month
Send a recommendation to your institution's librarian or information manager to request an extended free trial for all users.Recommend to your Librarian
If you are a librarian or information manager, you may request an extended free trial for your academic or corporate institution.Request an Institutional Trial
your institution might be eligible for free access via our sponsorship scheme. Check our sponsorship page.
If you think you should be able to access this content, please contact us.